Name
Abstract | ||
|---|---|---|
This paper presents a novel shot segmentation algorithm on the H.264/AVC video, which operates in the compressed domain. First, the algorithm exploits the intra. prediction mode histogram to locate those potential GOPs, where shot transitions Occur with great probability. Secondly, to further find shot boundaries at the frame level, we Count the number of macroblocks with different inter prediction modes as the features and exploit HMMs to automatically model different cases in which shot transitions can occur among I, P and B frames. Since H.264/AVC provides more motion compensation modes, using HMMs can avoid the tediousness of manually tuning multiple thresholds simultaneously. The experimental results show that the algorithm is efficient and robust, and it can not only locate cuts, but also work for gradual shot transitions. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICIP.2004.1421542 | ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5 |
Keywords | Field | DocType |
data compression,motion compensation,hidden markov models,image segmentation | Histogram,Quarter-pixel motion,Computer science,Motion compensation,Image segmentation,Artificial intelligence,Video compression picture types,Computer vision,Pattern recognition,Segmentation,Algorithm,Hidden Markov model,Data compression | Conference |
ISSN | Citations | PageRank |
1522-4880 | 9 | 0.84 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Liu | 1 | 1568 | 126.97 |
| Weiqiang Wang | 2 | 469 | 49.23 |
| Wen Gao | 3 | 11374 | 741.77 |
| Wei Zeng | 4 | 118 | 9.88 |