DMCA
ViBE: A Compressed Video Database Structured for Active Browsing and Search (2001)
Cached
Download Links
| Citations: | 49 - 15 self |
BibTeX
@MISC{Chen01vibe:a,
author = {Jau-yuen Chen and C. Taskiran and Cuneyt Taskran and A. Albiol and E. Delp and C. Bouman},
title = {ViBE: A Compressed Video Database Structured for Active Browsing and Search},
year = {2001}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
In this paper, we describe a unique new paradigm for video database management known as ViBE (Video Indexing and Browsing Environment). ViBE is a browseable/searchable paradigm for organizing video data containing a large number of sequences. The system first segments video sequences into shots by using a new feature vector known as the Generalized Trace obtained from the DC-sequence of the compressed data. Each video shot is then represented by a hierarchical structure known as the shot tree. The shots are then classified into pseudo-semantic classes that describe the shot content. Finally, the results are presented to the user in an active browsing environment using a similarity pyramid data structure. The similarity pyramid allows the user to view the video database at various levels of detail. The user can also define semantic classes and reorganize the browsing environment based on relevance feedback. We describe how ViBE performs on a database of MPEG sequences. EDICS: DTBS - ...
Keyphrases
active browsing compressed video database structured browsing environment generalized trace shot tree active browsing environment pseudo-semantic class similarity pyramid relevance feedback large number similarity pyramid data structure hierarchical structure system first segment video sequence new feature vector video database management browseable searchable paradigm video shot shot content video indexing mpeg sequence semantic class various level video data video database unique new paradigm
