Abstract
In this paper, we present a content-based video indexing and browsing system for home video. In addition to traditional video parsing to extract temporary structure and abstraction of a video, we also utilize face detection, tracking and recognition techniques to create an organization based on the existence of people in a video. The entire parsing process is designed in the way that it takes full advantage of the information in MPEG compressed data so that it can be performed very efficiently. The system also provides semi-automatic tools for semantic annotation and fully automatic content-based retrieval. © 2000 EUSIPCO.
| Original language | English |
|---|---|
| Article number | 7075801 |
| Journal | European Signal Processing Conference |
| Volume | 2015-March |
| Issue number | March |
| Publication status | Published - 31 Mar 2000 |
| Externally published | Yes |
| Event | 2000 10th European Signal Processing Conference, EUSIPCO 2000 - Tampere, Finland Duration: 4 Sept 2000 → 8 Sept 2000 |
Bibliographical note
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