Dynamic Processing Allocation in Video

TitleDynamic Processing Allocation in Video
Publication TypeJournal Articles
Year of Publication2011
AuthorsChen D, Bilgic M, Getoor L, Jacobs DW
JournalPattern Analysis and Machine Intelligence, IEEE Transactions on
Pagination2174 - 2187
Date Published2011/11//
ISBN Number0162-8828
Keywordsalgorithms;digital, allocation;video, analysis;computer, background, detection;graphical, detection;resource, graphics;face, model;resource, processing;, processing;face, recognition;object, signal, subtraction;baseline, video

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.