Paper Citation Record · LEDGER

Video Quality Assessment: A Comprehensive Survey

As of 16 August 2026, this Paper Citation Record lists 100 of 294 outbound references and 8 inbound Pith citation observations for arXiv:2412.04508.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.04508 v2

Coverage vector

measured 100 of 294 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:52:56.969627Z

measured 108 of 108 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:39:55.440555Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T13:56:59.273069Z

Reference resolution

100 of 294 outbound references displayed

verified exact9
verified fuzzy0
unresolved91
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8dee1c2c-b02b-4a6d-afa0-5674d691049d · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Video Quality Assessment: A Comprehensive Survey Imagenet classification with deep convolutional neural networks,

Reference 1

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Observation 8fecc169-c72f-4806-8c19-6b26e5e6524b · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Video Quality Assessment: A Comprehensive Survey Imagenet: A large-scale hierarchical image database,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.564213Z

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Observation 7a665c6b-53e7-4b9c-8083-2a377195ddee · outbound

This paper cites Deep convolutional neural models for picture-quality prediction: Chal- lenges and solutions to data-driven image quality assessment,.

Video Quality Assessment: A Comprehensive Survey Deep convolutional neural models for picture-quality prediction: Chal- lenges and solutions to data-driven image quality assessment,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.568112Z

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Observation e6e23843-38e3-4b71-b5b6-eaf042494348 · outbound

This paper cites Patch- VQ:’patching up’ the video quality problem,.

Video Quality Assessment: A Comprehensive Survey Patch- VQ:’patching up’ the video quality problem,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.578744Z

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Observation f5efa720-4ea1-4997-978b-dc344349e88a · outbound

This paper cites YouTube UGC dataset for video compression research,.

Video Quality Assessment: A Comprehensive Survey YouTube UGC dataset for video compression research,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.583267Z

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Observation 3522874a-a477-4d7f-a9c9-116de25313d1 · outbound

This paper cites Study of subjective and objective quality assessment of audio-visual signals,.

Video Quality Assessment: A Comprehensive Survey Study of subjective and objective quality assessment of audio-visual signals,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.586945Z

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Observation aeb19738-721b-451f-b2ab-b664eb6de3ee · outbound

This paper cites Segment anything,.

Video Quality Assessment: A Comprehensive Survey Segment anything,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.591478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b149c16-30cd-4402-86eb-13619fa74124 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Video Quality Assessment: A Comprehensive Survey Learning transferable visual models from natural language supervision,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.595259Z

Source-reported events for the cited work

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Observation 14384ab6-0d66-49cb-a040-d3599a447552 · outbound

This paper cites Visual instruction tuning,.

Video Quality Assessment: A Comprehensive Survey Visual instruction tuning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.598591Z

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Observation 5f9e01b6-fb76-4e19-bf13-4a9a8e4e9166 · outbound

This paper cites mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration,.

Video Quality Assessment: A Comprehensive Survey mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration,

Reference 10

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Observation c5da508d-4b38-42a6-84d8-b9b50e7cf5a7 · outbound

This paper cites Q-instruct: Improving low-level visual abilities for multi-modality foundation models,.

Video Quality Assessment: A Comprehensive Survey Q-instruct: Improving low-level visual abilities for multi-modality foundation models,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.604808Z

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Observation d4870486-951d-4e52-9b07-927481bf7b7e · outbound

This paper cites Multiscale structural sim- ilarity for image quality assessment,.

Video Quality Assessment: A Comprehensive Survey Multiscale structural sim- ilarity for image quality assessment,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.611171Z

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Observation b89a922a-2cff-4454-8df6-d65f5fc58232 · outbound

This paper cites Complex wavelet structural similarity: A new image similarity index,.

Video Quality Assessment: A Comprehensive Survey Complex wavelet structural similarity: A new image similarity index,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.614314Z

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Observation b53d6006-cc7e-4b31-bb09-0c27107dda0f · outbound

This paper cites Information content weighting for perceptual image quality assessment,.

Video Quality Assessment: A Comprehensive Survey Information content weighting for perceptual image quality assessment,

Reference 15

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Observation 3b30bad5-3902-4aff-a79e-776670c29791 · outbound

This paper cites Edge strength similarity for image quality assessment,.

Video Quality Assessment: A Comprehensive Survey Edge strength similarity for image quality assessment,

Reference 16

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Observation f1754f40-f0d0-4782-b970-cb80b0a58d75 · outbound

This paper cites Gradient magnitude similarity deviation: A highly efficient perceptual image quality index,.

Video Quality Assessment: A Comprehensive Survey Gradient magnitude similarity deviation: A highly efficient perceptual image quality index,

Reference 17

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Observation 9002fac4-7eaf-4224-bd76-44db6faf20bf · outbound

This paper cites Image quality assessment based on gradient similarity,.

Video Quality Assessment: A Comprehensive Survey Image quality assessment based on gradient similarity,

Reference 18

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Observation b55afdca-9426-4b86-9d8c-2cc0ea16c581 · outbound

This paper cites FSIM: A feature similarity index for image quality assessment,.

Video Quality Assessment: A Comprehensive Survey FSIM: A feature similarity index for image quality assessment,

Reference 19

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Observation 6a0f5948-9df2-4137-a6b1-3056687236c8 · outbound

This paper cites VSI: A visual saliency-induced index for perceptual image quality assessment,.

Video Quality Assessment: A Comprehensive Survey VSI: A visual saliency-induced index for perceptual image quality assessment,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.635663Z

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Observation f3d6b1db-09a2-40ff-af2e-61fcb68bc9de · outbound

This paper cites A perceptual image quality index based on global and double-random window similarity,.

Video Quality Assessment: A Comprehensive Survey A perceptual image quality index based on global and double-random window similarity,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.639447Z

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Observation 35d9ac03-24d7-485b-858d-0dad9924e4e9 · outbound

This paper cites Video quality assessment based on structural distortion measurement,.

Video Quality Assessment: A Comprehensive Survey Video quality assessment based on structural distortion measurement,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.642804Z

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Observation 9ab51b06-2726-4b39-bf5c-610b553fca48 · outbound

This paper cites A structural similarity metric for video based on motion models,.

Video Quality Assessment: A Comprehensive Survey A structural similarity metric for video based on motion models,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.647258Z

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Unavailable: canonical work link unavailable.

Observation 9d266d7f-dd76-4706-8548-3cdf7841f58d · outbound

This paper cites An optical flow-based full reference video quality assessment algorithm,.

Video Quality Assessment: A Comprehensive Survey An optical flow-based full reference video quality assessment algorithm,

Reference 24

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Observation 21acf142-f0aa-4c76-a231-cb57fb8c3655 · outbound

This paper cites Image quality assess- ment: Unifying structure and texture similarity,.

Video Quality Assessment: A Comprehensive Survey Image quality assess- ment: Unifying structure and texture similarity,

Reference 25

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Observation cdeb8419-0be1-46ce-bf03-b33005467de9 · outbound

This paper cites Locally adaptive structure and texture similarity for image quality assessment,.

Video Quality Assessment: A Comprehensive Survey Locally adaptive structure and texture similarity for image quality assessment,

Reference 26

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Observation d9f7ef6e-4817-49ad-a86a-69e66cbc103e · outbound

This paper cites Deep learning based full- reference and no-reference quality assessment models for compressed UGC videos,.

Video Quality Assessment: A Comprehensive Survey Deep learning based full- reference and no-reference quality assessment models for compressed UGC videos,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.661647Z

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Observation 9d99eff0-a1ba-4eca-8307-2eddb8d96d78 · outbound

This paper cites End-to-end Optimized Image Compression.

Video Quality Assessment: A Comprehensive Survey End-to-end Optimized Image Compression

Reference 28

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Observation 24661f19-1970-490a-9b88-e9929ad3a9c0 · outbound

This paper cites Learning to compress videos without computing motion,.

Video Quality Assessment: A Comprehensive Survey Learning to compress videos without computing motion,

Reference 29

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Observation a43b4c72-71a9-4bd0-8139-3334486d6976 · outbound

This paper cites Metamers of the ventral stream,.

Video Quality Assessment: A Comprehensive Survey Metamers of the ventral stream,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.671312Z

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Observation 7ca6217e-6709-4089-b071-e9a7eb895e07 · outbound

This paper cites Attention is all you need,.

Video Quality Assessment: A Comprehensive Survey Attention is all you need,

Reference 31

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Observation c360995b-71e5-4bcd-aa55-c3e8d3e7d265 · outbound

This paper cites Design of linear equalizers optimized for the structural similarity index,.

Video Quality Assessment: A Comprehensive Survey Design of linear equalizers optimized for the structural similarity index,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.680185Z

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Observation 593dbdda-ebab-4872-bd7f-e27627c6aee9 · outbound

This paper cites Mcvd - masked conditional video diffusion for prediction, generation, and interpolation,.

Video Quality Assessment: A Comprehensive Survey Mcvd - masked conditional video diffusion for prediction, generation, and interpolation,

Reference 33

Resolution: verified exact; raw_fallback, observed 2026-08-11T22:52:58.783751Z

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Observation ce2c933e-77c1-4d0f-af26-7869b8d3bb03 · outbound

This paper cites High-fidelity generative image compression,.

Video Quality Assessment: A Comprehensive Survey High-fidelity generative image compression,

Reference 34

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Observation 130950fa-d2c4-4b36-b984-1c6c050f3725 · outbound

This paper cites Lossy image compression with conditional dif- fusion models,.

Video Quality Assessment: A Comprehensive Survey Lossy image compression with conditional dif- fusion models,

Reference 35

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Observation 8e19ff67-0975-4b31-aed2-38740902a84b · outbound

This paper cites The level weighted structural similarity loss: A step away from mse,.

Video Quality Assessment: A Comprehensive Survey The level weighted structural similarity loss: A step away from mse,

Reference 36

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Observation 91420fe4-5864-4aa5-8be7-8879dc3ec437 · outbound

This paper cites Deep generative adversarial compression artifact removal,.

Video Quality Assessment: A Comprehensive Survey Deep generative adversarial compression artifact removal,

Reference 37

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Observation 9729858d-2f49-43bf-a27b-40c2c0cfdb49 · outbound

This paper cites Loss functions for pose guided person image generation,.

Video Quality Assessment: A Comprehensive Survey Loss functions for pose guided person image generation,

Reference 38

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Observation 14145361-ebc5-47c4-8419-99a00c08a664 · outbound

This paper cites The statistics of natural images,.

Video Quality Assessment: A Comprehensive Survey The statistics of natural images,

Reference 39

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Observation 521f3593-d6c0-42c8-9ccb-51777bcee59d · outbound

This paper cites Image information and visual quality,.

Video Quality Assessment: A Comprehensive Survey Image information and visual quality,

Reference 40

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Observation 206e7648-f5de-43ad-95c5-8cf5a5ae924f · outbound

This paper cites Distributions of the Two-Dimensional DCT Coefficients for Images,.

Video Quality Assessment: A Comprehensive Survey Distributions of the Two-Dimensional DCT Coefficients for Images,

Reference 41

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Observation 8fb8f351-68c0-4cbd-8858-4d4ddb9621f6 · outbound

This paper cites A theory for multiresolution signal decomposition: the wavelet representation,.

Video Quality Assessment: A Comprehensive Survey A theory for multiresolution signal decomposition: the wavelet representation,

Reference 42

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Observation d746ed88-d8d6-4a29-877b-b9fe5c9ce603 · outbound

This paper cites Scale mixtures of gaussians and the statistics of natural images,.

Video Quality Assessment: A Comprehensive Survey Scale mixtures of gaussians and the statistics of natural images,

Reference 43

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Observation cdf6242a-53c7-4d85-b2ee-8763ea24dcd4 · outbound

This paper cites VMAF: The journey continues,.

Video Quality Assessment: A Comprehensive Survey VMAF: The journey continues,

Reference 44

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Observation 82311eb6-8e70-41cb-98f5-400fa0e1fafa · outbound

This paper cites RAPIQUE: Rapid and accurate video quality prediction of user generated content,.

Video Quality Assessment: A Comprehensive Survey RAPIQUE: Rapid and accurate video quality prediction of user generated content,

Reference 45

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Observation 18557c1c-9a3b-40f8-9b35-96c5a8ff8be9 · outbound

This paper cites No-reference quality assessment of variable frame-rate videos using temporal band- pass statistics,.

Video Quality Assessment: A Comprehensive Survey No-reference quality assessment of variable frame-rate videos using temporal band- pass statistics,

Reference 46

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Observation 95262522-37a6-40ae-ade7-1189545de7f0 · outbound

This paper cites Making a “completely blind.

Video Quality Assessment: A Comprehensive Survey Making a “completely blind

Reference 47

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Observation 4f3496f7-760f-476c-9729-2af149c153a1 · outbound

This paper cites No-reference image quality assessment in the spatial domain,.

Video Quality Assessment: A Comprehensive Survey No-reference image quality assessment in the spatial domain,

Reference 48

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Observation f73c80f3-fbd5-4f7f-a286-cfdb7b0dc4c6 · outbound

This paper cites Blind image quality assessment using joint statistics of gradient magnitude and laplacian features,.

Video Quality Assessment: A Comprehensive Survey Blind image quality assessment using joint statistics of gradient magnitude and laplacian features,

Reference 49

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This paper cites A completely blind video quality evaluator,.

Video Quality Assessment: A Comprehensive Survey A completely blind video quality evaluator,

Reference 50

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This paper cites No- reference quality assessment of tone-mapped HDR pictures,.

Video Quality Assessment: A Comprehensive Survey No- reference quality assessment of tone-mapped HDR pictures,

Reference 51

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Observation 80037957-89e8-460e-8834-fb21b5cc2a4c · outbound

This paper cites Perceptual quality prediction on authentically dis- torted images using a bag of features approach,.

Video Quality Assessment: A Comprehensive Survey Perceptual quality prediction on authentically dis- torted images using a bag of features approach,

Reference 52

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This paper cites Blind video quality assessment via space-time slice statistics,.

Video Quality Assessment: A Comprehensive Survey Blind video quality assessment via space-time slice statistics,

Reference 53

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This paper cites Blind prediction of natural video quality,.

Video Quality Assessment: A Comprehensive Survey Blind prediction of natural video quality,

Reference 54

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This paper cites Spatiotemporal statistics for video quality assessment,.

Video Quality Assessment: A Comprehensive Survey Spatiotemporal statistics for video quality assessment,

Reference 55

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Observation dd4ce51a-f883-410f-b181-d558a392218a · outbound

This paper cites Hastie, R.

Video Quality Assessment: A Comprehensive Survey Hastie, R

Reference 56

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Observation 3c2ae740-b067-4f2c-974d-547536b9d106 · outbound

This paper cites Deep video quality asses- sor: From spatio-temporal visual sensitivity to a convolutional neural aggregation network,.

Video Quality Assessment: A Comprehensive Survey Deep video quality asses- sor: From spatio-temporal visual sensitivity to a convolutional neural aggregation network,

Reference 57

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This paper cites C3dvqa: Full-reference video quality assessment with 3D convolutional neural network,.

Video Quality Assessment: A Comprehensive Survey C3dvqa: Full-reference video quality assessment with 3D convolutional neural network,

Reference 58

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Observation 88ad5d66-4d53-4c2d-959d-9546359639c8 · outbound

This paper cites RankDVQA: Deep VQA based on Ranking-inspired Hybrid Training.

Video Quality Assessment: A Comprehensive Survey RankDVQA: Deep VQA based on Ranking-inspired Hybrid Training

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:52:58.709030Z

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Observation 2611e236-0ee7-45fc-b24a-cda402078c31 · outbound

This paper cites No-reference video quality evaluation by a deep transfer CNN architecture,.

Video Quality Assessment: A Comprehensive Survey No-reference video quality evaluation by a deep transfer CNN architecture,

Reference 60

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Observation 73054bf1-506a-4c4d-b789-aa5bfdd6f7f2 · outbound

This paper cites A Deep Learning based No-reference Quality Assessment Model for UGC Videos.

Video Quality Assessment: A Comprehensive Survey A Deep Learning based No-reference Quality Assessment Model for UGC Videos

Reference 61

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Observation d8ebd3fb-d3f1-42e8-86b0-25f08300151f · outbound

This paper cites Deep neural networks for no-reference video quality assessment,.

Video Quality Assessment: A Comprehensive Survey Deep neural networks for no-reference video quality assessment,

Reference 62

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Observation 5d2766a5-11bb-459c-b982-82c7bc834fa8 · outbound

This paper cites No-reference video quality assessment with 3d shearlet transform and convolutional neural networks,.

Video Quality Assessment: A Comprehensive Survey No-reference video quality assessment with 3d shearlet transform and convolutional neural networks,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.798241Z

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Observation 4df24ebd-89f8-444f-9259-71c57d9159b9 · outbound

This paper cites Blind video quality assessment with weakly supervised learning and resampling strategy,.

Video Quality Assessment: A Comprehensive Survey Blind video quality assessment with weakly supervised learning and resampling strategy,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.801603Z

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Observation 2538d2d8-a790-404e-a30e-e53a3a7a0e17 · outbound

This paper cites A strong baseline for image and video quality assessment.

Video Quality Assessment: A Comprehensive Survey A strong baseline for image and video quality assessment

Reference 66

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Observation 2e9f5a5c-3027-4b80-adb6-00fe922a7f15 · outbound

This paper cites End-to-end blind quality assessment of compressed videos using deep neural networks,.

Video Quality Assessment: A Comprehensive Survey End-to-end blind quality assessment of compressed videos using deep neural networks,

Reference 67

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Observation 18adf7aa-1657-4f52-b4ce-8574eeb50bf0 · outbound

This paper cites No-reference video quality assessment based on the tempo- ral pooling of deep features,.

Video Quality Assessment: A Comprehensive Survey No-reference video quality assessment based on the tempo- ral pooling of deep features,

Reference 68

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Observation a72e211c-08b7-433b-9c77-6a4dcb2fab0d · outbound

This paper cites Semantic information oriented no- reference video quality assessment,.

Video Quality Assessment: A Comprehensive Survey Semantic information oriented no- reference video quality assessment,

Reference 69

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Observation 877dd246-38b5-42c5-835c-f8b4753f07cb · outbound

This paper cites No-reference video quality assessment using multi-pooled, saliency weighted deep features and decision fusion,.

Video Quality Assessment: A Comprehensive Survey No-reference video quality assessment using multi-pooled, saliency weighted deep features and decision fusion,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.821102Z

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Observation 60d99355-e4cf-432b-9220-17ce63175050 · outbound

This paper cites Blind natural video quality prediction via statistical temporal features and deep spatial features,.

Video Quality Assessment: A Comprehensive Survey Blind natural video quality prediction via statistical temporal features and deep spatial features,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.825018Z

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Observation 5c0d4e43-f88d-4498-bc9a-f39713c46576 · outbound

This paper cites KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild.

Video Quality Assessment: A Comprehensive Survey KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:52:58.665462Z

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Observation db6b73fb-62ef-428e-993b-f68785517e0e · outbound

This paper cites No-reference video quality assessment via pretrained cnn and lstm networks,.

Video Quality Assessment: A Comprehensive Survey No-reference video quality assessment via pretrained cnn and lstm networks,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.834212Z

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Observation cc336c0e-05f3-479b-b1c6-ea32c6d7be4b · outbound

This paper cites Quality assessment of in-the-wild videos,.

Video Quality Assessment: A Comprehensive Survey Quality assessment of in-the-wild videos,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.838824Z

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Observation 1294f4e6-06e0-49f4-899c-92267145f1c4 · outbound

This paper cites Rirnet: Recurrent-in- recurrent network for video quality assessment,.

Video Quality Assessment: A Comprehensive Survey Rirnet: Recurrent-in- recurrent network for video quality assessment,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.842159Z

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Observation 1556586e-f49d-49a5-aea6-68edac495edd · outbound

This paper cites Blindly assess quality of in-the-wild videos via quality-aware pre-training and motion perception,.

Video Quality Assessment: A Comprehensive Survey Blindly assess quality of in-the-wild videos via quality-aware pre-training and motion perception,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.845778Z

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Observation 4ebf3c79-e97d-4164-96cc-5fd8dc958c1f · outbound

This paper cites Study on no-reference video quality assessment method incorporating dual deep learning networks,.

Video Quality Assessment: A Comprehensive Survey Study on no-reference video quality assessment method incorporating dual deep learning networks,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.849659Z

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Observation 16876726-9e9c-4f30-b664-9f84886b51b7 · outbound

This paper cites Deep neural networks for end-to-end spatiotemporal video quality prediction and aggregation,.

Video Quality Assessment: A Comprehensive Survey Deep neural networks for end-to-end spatiotemporal video quality prediction and aggregation,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.861745Z

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Observation 9cb429bb-29bc-4a1e-ba76-670cd9b3c92e · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Video Quality Assessment: A Comprehensive Survey The unreasonable effectiveness of deep features as a perceptual metric,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.873449Z

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Observation d8d873a0-672b-401b-ab2e-19a33dd96233 · outbound

This paper cites Why are deep repre- sentations good perceptual quality features?.

Video Quality Assessment: A Comprehensive Survey Why are deep repre- sentations good perceptual quality features?

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.878951Z

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Observation 565afe34-530b-4646-9476-c5ec4a4cf0c5 · outbound

This paper cites FloLPIPS: A Bespoke Video Quality Metric for Frame Interpoation.

Video Quality Assessment: A Comprehensive Survey FloLPIPS: A Bespoke Video Quality Metric for Frame Interpoation

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:52:58.646674Z

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Observation c8359fd8-324f-417b-b55a-c1e8db27f2c6 · outbound

This paper cites Long short-term memory,.

Video Quality Assessment: A Comprehensive Survey Long short-term memory,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.893052Z

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Observation 329b2444-194f-4cb3-96cc-af5ffd1d2ba0 · outbound

This paper cites Gate-variants of gated recurrent unit (GRU) neural networks,.

Video Quality Assessment: A Comprehensive Survey Gate-variants of gated recurrent unit (GRU) neural networks,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.898139Z

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Observation 03457aa7-91dc-49c9-8262-848309dde54a · outbound

This paper cites 2BiVQA: Double Bi-LSTM based Video Quality Assessment of UGC Videos.

Video Quality Assessment: A Comprehensive Survey 2BiVQA: Double Bi-LSTM based Video Quality Assessment of UGC Videos

Reference 85

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:52:58.629443Z

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Observation f0f5b289-c517-4616-beff-f975c7603cbd · outbound

This paper cites Cbam: Convolutional block attention module,.

Video Quality Assessment: A Comprehensive Survey Cbam: Convolutional block attention module,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.905983Z

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Observation 0dfb98bb-2621-483d-99cf-e92f2e7d4e41 · outbound

This paper cites Squeeze-and-excitation networks,.

Video Quality Assessment: A Comprehensive Survey Squeeze-and-excitation networks,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.910401Z

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Observation 5f916328-08d7-4307-bf3d-8e2e0ef5932f · outbound

This paper cites Attention based network for no-reference ugc video quality assessment,.

Video Quality Assessment: A Comprehensive Survey Attention based network for no-reference ugc video quality assessment,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.914982Z

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Observation a3f2967e-d441-43a0-b036-0658ce1e95bd · outbound

This paper cites Learning gen- eralized spatial-temporal deep feature representation for no-reference video quality assessment,.

Video Quality Assessment: A Comprehensive Survey Learning gen- eralized spatial-temporal deep feature representation for no-reference video quality assessment,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.918422Z

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Observation 63178da1-8992-4837-a74e-03db224497cc · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Video Quality Assessment: A Comprehensive Survey An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.921489Z

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Observation 59c8e90e-2a0f-4686-bdae-2c2fb50451ff · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted win- dows,.

Video Quality Assessment: A Comprehensive Survey Swin transformer: Hierarchical vision transformer using shifted win- dows,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.925013Z

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Observation f1a686c5-285c-4042-af71-8ac27c8fe9d5 · outbound

This paper cites Long short-term convolutional transformer for no-reference video quality assessment,.

Video Quality Assessment: A Comprehensive Survey Long short-term convolutional transformer for no-reference video quality assessment,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.928261Z

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Observation 0c3669f7-1c31-4871-a14a-9bf9ed6e9641 · outbound

This paper cites StarVQA: Space-Time Attention for Video Quality Assessment.

Video Quality Assessment: A Comprehensive Survey StarVQA: Space-Time Attention for Video Quality Assessment

Reference 93

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:52:58.596012Z

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Observation d195751d-d3d9-4345-8484-488b83328342 · outbound

This paper cites DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment.

Video Quality Assessment: A Comprehensive Survey DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment

Reference 94

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:52:58.578501Z

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Observation c9bda320-c56b-4441-91c8-8f007d8eca9c · outbound

This paper cites FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling.

Video Quality Assessment: A Comprehensive Survey FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.939874Z

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Observation 10b4bcf8-740e-4e48-8efa-68fc309e3e44 · outbound

This paper cites SAMScore: A Content Structural Similarity Metric for Image Translation Evaluation.

Video Quality Assessment: A Comprehensive Survey SAMScore: A Content Structural Similarity Metric for Image Translation Evaluation

Reference 96

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:52:58.547752Z

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Observation 09be8b34-399d-49ca-bcb2-2c570dc6b9e3 · outbound

This paper cites SAM-IQA: Can Segment Anything Boost Image Quality Assessment?.

Video Quality Assessment: A Comprehensive Survey SAM-IQA: Can Segment Anything Boost Image Quality Assessment?

Reference 97

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:52:58.529228Z

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Observation 05498416-7ec3-4bbd-8c15-1c2f0091fc90 · outbound

This paper cites Cover: A comprehensive video quality evaluator,.

Video Quality Assessment: A Comprehensive Survey Cover: A comprehensive video quality evaluator,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.951636Z

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Observation 48b54bb5-df20-4270-8c66-1da99852e69a · outbound

This paper cites Ptm-vqa: Efficient video quality assessment leveraging diverse pretrained models from the wild,.

Video Quality Assessment: A Comprehensive Survey Ptm-vqa: Efficient video quality assessment leveraging diverse pretrained models from the wild,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.955326Z

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Observation e3e7bbb0-bb8a-495b-9701-d1353ea3148a · outbound

This paper cites Exploring clip for assessing the look and feel of images,.

Video Quality Assessment: A Comprehensive Survey Exploring clip for assessing the look and feel of images,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.958731Z

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Observation 6d2fbf5a-7958-4da8-b0e9-39b04c681c02 · outbound

This paper cites Exploring Opinion-unaware Video Quality Assessment with Semantic Affinity Criterion.

Video Quality Assessment: A Comprehensive Survey Exploring Opinion-unaware Video Quality Assessment with Semantic Affinity Criterion

Reference 101

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Observation 2dbc6b5e-6164-41b0-b996-75a480c94931 · outbound

This paper cites Towards explainable in-the-wild video quality assessment: a database and a language-prompted approach,.

Video Quality Assessment: A Comprehensive Survey Towards explainable in-the-wild video quality assessment: a database and a language-prompted approach,

Reference 102

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Observation b43f0a02-66a8-49f5-a8e7-2bb071b663f6 · outbound

This paper cites Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision.

Video Quality Assessment: A Comprehensive Survey Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:56.969627Z

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Pith citing papers

Observation 9c8c29d6-0280-47da-bca8-a1408da96901 · inbound

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M3-CVC: Controllable Video Compression with Multimodal Generative Models Video Quality Assessment: A Comprehensive Survey

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T13:58:09.460692Z

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Observation 00422675-e8e5-4af3-a435-45462a2acd24 · inbound

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4KAgent: Agentic Any Image to 4K Super-Resolution Video Quality Assessment: A Comprehensive Survey

Reference 265

Resolution: unresolved; no resolver link, observed 2026-08-06T18:52:39.433586Z

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Observation e84eccf6-9d66-42fd-a31c-91fba92e2783 · inbound

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Subjective and Objective Quality Assessment of Banding Artifacts on Compressed Videos Video Quality Assessment: A Comprehensive Survey

Reference 104

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Observation 381581f9-4533-492f-bf9a-702e9d6d4a69 · inbound

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rPPG-VQA: A Video Quality Assessment Framework for Unsupervised rPPG Training Video Quality Assessment: A Comprehensive Survey

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:20:57.506602Z

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Observation 532eedb5-6244-42c6-8f35-983575a854c2 · inbound

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DPC-VQA: Decoupling Quality Perception and Residual Calibration for Video Quality Assessment Video Quality Assessment: A Comprehensive Survey

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:16:01.270518Z

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Observation a97f36b9-e5b1-4f65-85cc-2064f7e7ef9c · inbound

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Beyond VMAF: Towards Application-Specific Metrics for Teleoperation Video Video Quality Assessment: A Comprehensive Survey

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Resolution: verified exact; arxiv_id, observed 2026-05-14T18:12:33.126003Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 121380fe-21a3-4ddb-8e78-7d00742d5164 · inbound

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LongVQUBench: Benchmarking Long-Term Video Quality Understanding of Vision-Language Models Video Quality Assessment: A Comprehensive Survey

Reference 76

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:56:59.274685Z

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Observation 97c3aba8-edbf-43c7-a1b6-935952a18dac · inbound

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Towards Standardized Light Field Quality Assessment: Hybrid Subjective Benchmarking and Objective Metric Evaluation Video Quality Assessment: A Comprehensive Survey

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