List of participants of MSU SBD

MSU SBD Benchmark 2020

Click on the labels to sort the table.

Name Detects gradual transitions Free Open source Uses machine learning
Saeid Dadkhan No Yes Yes No
MaxReimann No Yes Yes Yes
aysebil No Yes Yes Yes
PyScene Yes Yes Yes No
VQMT Yes No No No
FFmpeg Yes Yes Yes No
johmathe No Yes Yes No
NITS-CV-Lab-v1.0 No Yes Yes No
GStreamer 1.16.2 No Yes Yes No

aysebil

Version: -

Added to the benchmark by: MSU

Parameters:

Links: GitHub

FFmpeg v4.2

Version: v4.2

Added to the benchmark by: MSU

Parameters:

Links: Documentation

johmathe

Version: -

Added to the benchmark by: MSU

Parameters:

Links: GitHub

Max Remain

Version: -

Added to the benchmark by: MSU

Parameters:

Links: GitHub

PyScene v0.5.4

Version: v0.5.4

Added to the benchmark by: MSU

Command: scenedetect -i {input} -o {output} detect-content list-scenes

Links: Documentation

PyScene v0.5.4 (thr = 27)

Version: v0.5.4

Added to the benchmark by: submitted by authors

Command: scenedetect -i {input} -o {output} detect-content -t 27 list-scenes

Links: Documentation

Saeid Dadkhan

Version: -

Added to the benchmark by: MSU

Parameters:

Links: GitHub

VQMT

Version: v1.2

Added to the benchmark by: MSU

Parameters:

Links: Information

NITS-CV-Lab-v1.0

Version: v1.0

Added to the benchmark by: submitted by authors

Parameters:

Links: GitHub

Paper: Singh, Alok, Dalton Meitei Thounaojam, and Saptarshi Chakraborty. "A novel automatic shot boundary detection algorithm: robust to illumination and motion effect." Signal, Image and Video Processing (2019): 1-9. https://doi.org/10.1007/s11760-019-01593-3

GStreamer 1.16.2

Version: v1.16.2

Added to the benchmark by: submitted by authors

Command: gst-launch-1.0 -v filesrc location={input} ! decodebin ! scenechange ! theoraenc ! fakesink

Links: Documentation

28 Dec 2020
See Also
MSU Image- and video-quality metrics analysis
Description of a project in MSU Graphics and Media Laboratory
Learning-Based Image Compression Benchmark
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
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
Metrics Robustness Benchmark
Check your image or video quality metric for robustness to adversarial attacks
Site structure