Multimodal video database modeling, querying and browsing

被引：0
|
作者：
Durak, N [1 ]
Yazici, A [1 ]
机构：
[1] Middle E Tech Univ, Dept Comp Engn, Ankara, Turkey
来源：
COMPUTER AND INFORMATION SCIENCES - ISCIS 2005, PROCEEDINGS | 2005年 / 3733卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a multimodal video indexing and retrieval system, MMVIRS, is presented. MMVIRS models the auditory, visual, and textual sources of video collections from a semantic perspective. Besides multimodality, our model is constituted on semantic hierarchies that enable us to access the video from different semantic levels. MMVIRS has been implemented with data annotation, querying and browsing parts. In the annotation part, metadata information and video semantics are extracted in hierarchical ways. In the querying part, semantic queries, spatial queries, regional queries, spatio-temporal queries, and temporal queries have been processed over video collections using the proposed model. In the browsing parts, video collections are navigated using category information, visual and auditory hierarchies.
引用
收藏
页码：802 / 812
页数：11
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