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» Content-based Video Retrieval
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ICIP
2000
IEEE
14 years 9 months ago
Combine User Defined Region-of-Interest and Spatial Layout for Image Retrieval
Content-Based Image Retrieval (CBIR) is one of the most active research areas in recent years. Many visual feature representations have been explored and many systems built. Howev...
Qi Tian, Ying Wu, Thomas S. Huang
DMS
2008
106views Multimedia» more  DMS 2008»
13 years 9 months ago
A Multimedia Data Streams Model for Content-based Information Retrieval
: Multimedia applications nowadays are becoming the standard, for they utilize the enormous human brain computational power. In the past, the Relational Database Model was generali...
Shenoda Guirguis, Rohit Kulkarni, Shi-Kuo Chang
ICMCS
2006
IEEE
94views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Semantic Labeling of Multimedia Content Clusters
In this paper we present a novel approach for labeling clusters of multimedia content that leverages supervised classification techniques in conjunction with unsupervised cluster...
Jelena Tesic, John R. Smith
MMM
2008
Springer
156views Multimedia» more  MMM 2008»
14 years 2 months ago
Cross-Lingual Retrieval of Identical News Events by Near-Duplicate Video Segment Detection
Recently, for reusing large quantities of accumulated news video, technology for news topic searching and tracking has become necessary. Moreover, since we need to understand a cer...
Akira Ogawa, Tomokazu Takahashi, Ichiro Ide, Hiros...
WWW
2010
ACM
14 years 1 months ago
What are the most eye-catching and ear-catching features in the video?: implications for video summarization
Video summarization is a mechanism for generating short summaries of the video to help people quickly make sense of the content of the video before downloading or seeking more det...
Yaxiao Song, Gary Marchionini, Chi Young Oh