000 | 02030nab a22002657 4500 | ||
---|---|---|---|
001 | H004.414 INF | ||
003 | AR-sfUTN | ||
008 | 190909b xx |||p|r|||| 00| 0 spa d | ||
040 | _cAR-sfUTN | ||
080 | _aH004.414 INF | ||
100 | _aChua, Tat-Seng | ||
700 | _aRuan, Li-Qun | ||
245 | _aA video retrieval and sequencing system | ||
336 |
_2rdacontent _atexto _btxt |
||
337 |
_2rdamedia _asin mediaciĆ³n _bn |
||
338 |
_2rdacarrier _avolumen _bnc |
||
505 | _aVideo is an effective medium for capturing the events in the real world around us, and a vast amount of video materials exists, covering a wide range of applications. However, widespread use of video in computer applications is often impeded by the lack of effective tools to manage video information systematically. This article discusses the design and implementation of a frame-based video retrieval and sequencing system (VRSS). The system is designed to support the entire process of video information management: segmenting, indexing, retrieving, and sequencing of video data. A semiautomatic tool is developed to divide video sequences into meaningful shots. Each video shot is logged using text descriptions, audio dialogue, and cinematic attributes. A two-layered, concept-based model is used as the basis for accurately retrieving relevant video shots based on users' free-text queries. A cinematic, rule-based, virtual editing tool is also developed to sequence the video shots retrieved for presentation within a specified time constraint. The system has been tested on a video documentary on the NUS (National University of Singapore) engineering faculty. The results of video retrieval experiments are encouraging | ||
650 | _aARTIFICIAL INTELLIGENCE | ||
650 | _aINFORMATION STORAGE | ||
650 | _aINFORMATION RETRIEVAL | ||
650 | _aINFORMATION INTERFACES | ||
773 |
_tACM Transactions on Information Systems _wH004.414 INF _nS.T.:H004.414 INF PP3500 _g(vol. 13, nro. 4, Oct. 1995), p. 373-407 |
||
942 | _cAN | ||
999 |
_c37656 _d37656 |