Title :
Content-based video retrieval and compression: a unified solution
Author :
Zhang, Hongjiang ; Wang, John Y A ; Altunbasak, Yucel
Author_Institution :
Hewlett-Packard Co., Palo Alto, CA, USA
Abstract :
Video compression and retrieval have been treated as separate problems in the past. We present an object-based video representation that facilitates both compression and retrieval. Typically in retrieval applications, a video sequence is subdivided in time into a set of shorter segments each of which contains similar content. These segments are represented by 2-D representative images called “key-frames” that greatly reduce amount of data that is searched. However, key-frames do not describe the motions and actions of objects within the segment. We propose a representation that extends the ideas of the key-frame to further include what we define as “key-objects”. These key-objects consist of regions within a key-frame that move with similar motion. Thus our key-objects allow a retrieval system to more efficiently present information to users and assist them in browsing and retrieving relevant video content
Keywords :
data compression; image representation; image segmentation; image sequences; indexing; information retrieval systems; video coding; visual databases; 2D representative images; browsing; content-based video retrieval; key-frames; key-objects; object-based video representation; retrieval system; video compression; video indexing; video sequence; Bandwidth; Content based retrieval; Image coding; Image segmentation; Indexing; Information retrieval; Laboratories; Milling machines; Video compression; Video sequences;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.647372