Content-based video retrieval and compression: a unified solution
| Autor: | Yucel Altunbasak, J.Y.A. Wang, Hong-Jiang Zhang |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Information retrieval
Computer science business.industry Search engine indexing ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image segmentation Object (computer science) Video compression picture types Set (abstract data type) Video tracking Computer vision Artificial intelligence Representation (mathematics) business Data compression |
| Zdroj: | ICIP (1) |
| DOI: | 10.1109/icip.1997.647372 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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