List of participants of MSU Video Alignment and Retrieval Benchmark Suite
TMK
- Adapted the kernel descriptor framework of Bo (paper) to sequences of frames. Proposed a query expansion (QE) technique that automatically aligns the videos deemed relevant for the
query.
- Added to the benchmark by MSU G&M Lab
VideoIndexer
- Detect scene changes, split the video on scenes. Align scenes, than align frames respectively.
- Added to the benchmark by MSU G&M Lab
- Links: paper
Time shift metric in VQMT tool
- Use PSNR to detect relevant frames.
- Added to the benchmark by MSU G&M Lab
- Links: project
Time shift metric in VQMT3D tool
- Use motion vectors and RANSAC to measure time shift between frames.
- Added to the benchmark by MSU G&M Lab
- Links: project
ViSiL
- Use RMAC descriptors to estimate frame-to-frame and video-to-video similarity.
- Added to the benchmark by MSU G&M Lab
- This method was modified by MSU to suit the benchmark suite tasks: we measure only frame-to-frame similarity, then we make synchronization map by taking maximum values in the resulting cost matrix.
ViSiL_SCD
- Use ViSiL architecture to compute frames features. Detect scene changes by the features and split videos on scenes. Match the scenes by video-to-video similarity and then make synchronization map by taking maximum values in the frame-to-frame similarity matrix.
- Added to the benchmark by MSU G&M Lab
See Also
Video Colorization Benchmark
Explore the best video colorization algorithms
Super-Resolution for Video Compression Benchmark
Learn about the best SR methods for compressed videos and choose the best model to use with your codec
Defenses for Image Quality Metrics Benchmark
Explore defenses from adv attacks
Learning-Based Image Compression Benchmark
The First extensive comparison of Learned Image Compression algorithms
Super-Resolution Quality Metrics Benchmark
Discover 66 Super-Resolution Quality Metrics and choose the most appropriate for your videos
Video Saliency Prediction Benchmark
Explore the best video saliency prediction (VSP) algorithms
Site structure
-
MSU Benchmark Collection
- Video Colorization Benchmark
- Super-Resolution for Video Compression Benchmark
- Defenses for Image Quality Metrics Benchmark
- Learning-Based Image Compression Benchmark
- Super-Resolution Quality Metrics Benchmark
- Video Saliency Prediction Benchmark
- Metrics Robustness Benchmark
- Video Upscalers Benchmark
- Video Deblurring Benchmark
- Video Frame Interpolation Benchmark
- HDR Video Reconstruction Benchmark
- No-Reference Video Quality Metrics Benchmark
- Full-Reference Video Quality Metrics Benchmark
- Video Alignment and Retrieval Benchmark
- Mobile Video Codecs Benchmark
- Video Super-Resolution Benchmark
- Shot Boundary Detection Benchmark
- The VideoMatting Project
- Video Completion
- Codecs Comparisons & Optimization
- VQMT
- MSU Datasets Collection
- Metrics Research
- Video Quality Measurement Tool 3D
- Video Filters
- Other Projects