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WACV
2005
IEEE
13 years 10 months ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee
MMM
2008
Springer
127views Multimedia» more  MMM 2008»
13 years 11 months ago
A Query Language Combining Object Features and Semantic Events for Surveillance Video Retrieval
In this paper, we propose a novel query language for video indexing and retrieval that (1) enables to make queries both at the image level and at the semantic level (2) enables the...
Thi-Lan Le, Monique Thonnat, Alain Boucher, Fran&c...
ICMCS
2000
IEEE
172views Multimedia» more  ICMCS 2000»
13 years 9 months ago
Multi Layer Video Object Database based on Interactive Annotation and its Application
As the use of applications employing video contents becomes widespread, it is crucial for representation systems to be able to handle video effectively and flexibly. In this pape...
Tomoyuki Yatabe, Hiroshi Kawasaki, Hiroshi Mo, Mas...
DICTA
2008
13 years 6 months ago
Digital Image Retrieval Using Intermediate Semantic Features and Multistep Search
Recently, semantic image retrieval has attracted large amount of interest due to the rapid growth of digital image storage. However, existing approaches have severe limitations. I...
Dengsheng Zhang, Ying Liu, Jin Hou
TRECVID
2007
13 years 6 months ago
Experimenting VIREO-374: Bag-of-Visual-Words and Visual-Based Ontology for Semantic Video Indexing and search
In this paper, we present our approaches and results of high-level feature extraction and automatic video search in TRECVID-2007. In high-level feature extraction, our main focus ...
Chong-Wah Ngo, Yu-Gang Jiang, Xiao-Yong Wei, Feng ...