SOTAVerified

Video Compression

Video Compression is a process of reducing the size of an image or video file by exploiting spatial and temporal redundancies within an image or video frame and across multiple video frames. The ultimate goal of a successful Video Compression system is to reduce data volume while retaining the perceptual quality of the decompressed data.

Source: Adversarial Video Compression Guided by Soft Edge Detection

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 376–400 of 496 papers

TitleStatusHype
A Neural-network Enhanced Video Coding Framework beyond ECM—0
A new way of video compression via forward-referencing using deep learning—0
A Practical Approach for Rate-Distortion-Perception Analysis in Learned Image Compression—0
A proto-object based audiovisual saliency map—0
A Quantitative Approach To The Temporal Dependency in Video Coding—0
Quantum Block-Matching Algorithm using Dissimilarity Measure—0
A Technical Overview of AV1—0
Attention Based Image Compression Post-Processing Convolutional Neural Network—0
Audio-Visual Driven Compression for Low-Bitrate Talking Head Videos—0
BBAND Index: A No-Reference Banding Artifact Predictor—0
Benchmarking Conventional and Learned Video Codecs with a Low-Delay Configuration—0
Beyond Bjøntegaard: Limits of Video Compression Performance Comparisons—0
Bi-Directional Deep Contextual Video Compression—0
Bitstream Organization for Parallel Entropy Coding on Neural Network-based Video Codecs—0
Block-Matching Optical Flow for Dynamic Vision Sensor- Algorithm and FPGA Implementation—0
Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms—0
Blurry Video Compression: A Trade-off between Visual Enhancement and Data Compression—0
Boosting neural video codecs by exploiting hierarchical redundancy—0
Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information—0
Butterfly: Multiple Reference Frames Feature Propagation Mechanism for Neural Video Compression—0
BVI-DVC: A Training Database for Deep Video Compression—0
C3: High-performance and low-complexity neural compression from a single image or video—0
CANeRV: Content Adaptive Neural Representation for Video Compression—0
Channel-wise Feature Decorrelation for Enhanced Learned Image Compression—0
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection—0
Show:102550
← PrevPage 16 of 20Next →

No leaderboard results yet.