Name
Abstract | ||
|---|---|---|
With the increasing volume of video data, how to analyze and browse video in a fast and effective way has become an urgent problem in applications. This letter proposes a novel video synopsis method in compressed domain for browsing video captured by static cameras. Synopsis video is a video abstraction, which displays moving objects from different periods simultaneously on the primary background contents of original video. To overcome the low efficiency of traditional video synopsis for compressed video, our method presents a new graph cut algorithm to extract objects tubes and meanwhile gives a fast solution to minimize energy function in compressed domain. Experimental results in H.264 video have demonstrated the high-efficiency of this new video synopsis scheme for massive video browsing. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/LSP.2014.2317754 | IEEE Signal Process. Lett. |
Keywords | Field | DocType |
energy function,compressed domain,graph cut algorithm,objects tube extraction,graph cuts and video browsing,data compression,static camera,compressed video,massive video browsing,video abstraction,h.264 video,video coding,video synopsis,moving object display,video synopsis method,algorithm design and analysis,labeling,computational complexity,computational modeling | Video browsing,Computer vision,Video processing,Video capture,Computer graphics (images),Computer science,Multiview Video Coding,Video tracking,Artificial intelligence,Video denoising,Video compression picture types,Uncompressed video | Journal |
Volume | Issue | ISSN |
21 | 7 | 1070-9908 |
Citations | PageRank | References |
7 | 0.42 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rui Zhong | 1 | 22 | 6.42 |
| Ruimin Hu | 2 | 961 | 117.18 |
| Hongqiang Wang | 3 | 313 | 40.65 |
| Shi-Zheng Wang | 4 | 77 | 8.39 |