Title :
The LIGVID System for video retrieval and concept annotation
Author :
Ayache, Stephane ; Quénot, Georges ; Tseng, Andy
Author_Institution :
LIG - Lab. d´´Inf. de Grenoble, Grenoble, France
Abstract :
The LIGVID system is designed for online interactive video shots retrieval and annotation. It uses a user-controlled combination of multiple criteria: keywords, phonetic string, similarity to example images, semantic categories, and relevance feedback strategies: visual and temporal similarity to already identified positive images. In addition to Relevance Feedback processes, the system runs in background an active learning algorithm to better model the user´s information need. Previous participation to video retrieval challenges has permit to show the effectiveness of our system.
Keywords :
information needs; interactive systems; learning (artificial intelligence); relevance feedback; video retrieval; LIGVID system; active learning algorithm; concept annotation; online interactive video shots retrieval; relevance feedback process; user controlled combination; user information need; Automatic speech recognition; Bridges; Control systems; Feedback loop; Focusing; Indexing; Natural languages; Output feedback; Support vector machine classification; Support vector machines;
Conference_Titel :
Content-Based Multimedia Indexing (CBMI), 2010 International Workshop on
Conference_Location :
Grenoble
Print_ISBN :
978-1-4244-8028-9
Electronic_ISBN :
1949-3983
DOI :
10.1109/CBMI.2010.5529885