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» Statistical visual feature indexes in video retrieval
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CVIU
2004
155views more  CVIU 2004»
13 years 7 months ago
Object of interest-based visual navigation, retrieval, and semantic content identification system
This study presents a content-based image retrieval system IMALBUM based on local region of interest called object of interest (OOI). Each segmented or user-selected OOI is indexe...
Khalid Idrissi, Guillaume Lavoué, Julien Ri...
CVPR
2008
IEEE
14 years 9 months ago
Utilizing semantic word similarity measures for video retrieval
This is a high level computer vision paper, which employs concepts from Natural Language Understanding in solving the video retrieval problem. Our main contribution is the utiliza...
Yusuf Aytar, Mubarak Shah, Jiebo Luo
COMPSAC
2002
IEEE
14 years 21 days ago
An Effective Content-Based Visual Image Retrieval System
In this paper, an effective content-based visual image retrieval system is presented. This system consists of two main components: visual content extraction and indexing, and quer...
Xiuqi Li, Shu-Ching Chen, Mei-Ling Shyu, Borko Fur...
TCSV
2008
124views more  TCSV 2008»
13 years 7 months ago
A Block-Edge-Pattern-Based Content Descriptor in DCT Domain
In this correspondence, we describe a robust and effective content descriptor based on block edge patterns extracted directly in DCT domain, which is suitable for applications in J...
Jianmin Jiang, Kaijin Qiu, Guoqiang Xiao
MIR
2010
ACM
232views Multimedia» more  MIR 2010»
14 years 2 months ago
Exploiting external knowledge to improve video retrieval
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...
David Vallet, Iván Cantador, Joemon M. Jose