Name
Abstract | ||
|---|---|---|
Large stores of digital video pose severe computational challenges to existing video analysis algorithms. In applying these algorithms, users must often trade off processing speed for accuracy, as many sophisticated and effective algorithms require large computational resources that make it impractical to apply them throughout long videos. One can save considerable effort by applying these expensive algorithms sparingly, directing their application using the results of more limited processing. We show how to do this for retrospective video analysis by modeling a video using a chain graphical model and performing inference both to analyze the video and to direct processing. We apply our method to problems in background subtraction and face detection, and show in experiments that this leads to significant improvements over baseline algorithms. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TPAMI.2011.55 | IEEE Trans. Pattern Anal. Mach. Intell. |
Keywords | Field | DocType |
face detection,video signal processing,dynamic processing allocation,large store,large computational resource,face recognition,video analysis,long video,graphical models,computer graphics,video processing,graphical model,resource allocation,direct processing,digital video,dynamic programming.,limited processing,retrospective video analysis,baseline algorithms,optimization,severe computational challenge,object detection,background subtraction,video analysis algorithm,digital video processing,markov process,markov processes,heuristic algorithm,algorithm design and analysis,resource management,dynamic programming,hidden markov models,resource manager,face,algorithm design,hidden markov model | Background subtraction,Facial recognition system,Object detection,Computer vision,Video processing,Computer science,Video tracking,Resource allocation,Artificial intelligence,Face detection,Computer graphics | Journal |
Volume | Issue | ISSN |
33 | 11 | 1939-3539 |
Citations | PageRank | References |
5 | 0.53 | 39 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daozheng Chen | 1 | 73 | 5.05 |
| Mustafa Bilgic | 2 | 631 | 29.31 |
| Lise Getoor | 3 | 4365 | 320.21 |
| David W. Jacobs | 4 | 4599 | 348.03 |