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

Showing 7180 of 496 papers

TitleStatusHype
CompressAI: a PyTorch library and evaluation platform for end-to-end compression researchCode1
AIM 2024 Challenge on Video Saliency Prediction: Methods and ResultsCode1
Flexible-Rate Learned Hierarchical Bi-Directional Video Compression With Motion Refinement and Frame-Level Bit AllocationCode1
FVC: A New Framework towards Deep Video Compression in Feature SpaceCode1
A Unified End-to-End Framework for Efficient Deep Image CompressionCode1
High-Efficiency Neural Video Compression via Hierarchical Predictive LearningCode1
Non-Semantics Suppressed Mask Learning for Unsupervised Video Semantic CompressionCode1
I^2VC: A Unified Framework for Intra- & Inter-frame Video CompressionCode1
Advancing Learned Video Compression with In-loop Frame PredictionCode1
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection0
Show:102550
← PrevPage 8 of 50Next →

No leaderboard results yet.