Name
Abstract | ||
|---|---|---|
To acquire digital videos is much easier than before, since we can get videos captured from DV camcorder. More video archives make searching the targeted content more difficult. In the past decade, efficient video indexing, browsing and summarization techniques thus have become an important research issue in the field of content-based video retrieval. In this work, a novel mechanism of human subject-based browsing and summarization is proposed. Human subjects who are actually watching towards the camera are first detected and are further recognized by our proposed online learning classifiers, which are based on the measure of Mahalanobis distance. A complementary set of features is extracted from the torso of a human subject, as that part of the body contains relatively richer information than the face when the videos are captured in general camcorders. The features extracted from the torso consist of the quadtree-based color features and the quadtree-based edge features. Our experimental results show the efficacy of the proposed system for the human subject-based video browsing and summarization task. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICMLC.2010.5580790 | ICMLC |
Keywords | Field | DocType |
quadtree based edge feature,video summarization technique,quadtrees,video capturing,quadtree based color feature,dv camcorder,pattern classification,video cameras,mahalanobis distance,online learning classifier,feature extraction,content based video retrieval,edge detection,video browsing,video summarization,video retrieval,content-based retrieval,human subject based video browsing,video indexing technique,torso,face | Video browsing,Automatic summarization,Computer vision,Video capture,Pattern recognition,Edge detection,Computer science,Search engine indexing,Mahalanobis distance,Feature extraction,Artificial intelligence,Quadtree | Conference |
Volume | ISBN | Citations |
6 | 978-1-4244-6526-2 | 0 |
PageRank | References | Authors |
0.34 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Duan-Yu Chen | 1 | 296 | 28.79 |
| Kuei-Cheng Chu | 2 | 0 | 0.34 |
| Yu-Chien Liu | 3 | 0 | 0.34 |
| Yung-sheng Chen | 4 | 726 | 84.83 |