Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
12-2002
Abstract
In this papel; we investigate video shots retrieval based on the analysis of temporal slice images. Temporal slices are a set of2D images extracted along the time dimension of image sequences. They encode rich set of motion clues for shot similarity measure. Because motion is depicted as texture orientation in temporal slices, we utilize various texture features such as tensor histogram, Gabor feature, and the statistical feature of co-occurrence matrix extracted directly from slices for motion description and retrieval. In this way, motion retrieval can be treated in a similar way as texture retrieval problem. Experimental results indicate that the features extracted from slices perform satisfactorily in the sport video domain and are, in general, superior to the histogram of MPEG motion vector.
Discipline
Data Storage Systems | Graphics and Human Computer Interfaces
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings of the 16th International Conference on Pattern Recognition, Quebec City, Quebec, Canada, 2002 August 11-15
Volume
16
First Page
64
Last Page
67
Identifier
10.1109/ICPR.2002.1047401
Publisher
IEEE
City or Country
Quebec City, Quebec, Canada
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.