Content-Based Video Retrieval and Compression: A Unified Solution

Video compression and retrieval have been treated as separate problems in the past. In this paper, 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, keyframes 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.