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» Using High-Level Semantic Features in Video Retrieval
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ICMCS
2007
IEEE
157views Multimedia» more  ICMCS 2007»
15 years 4 months ago
A Semantic Content Analysis Model for Sports Video Based on Perception Concepts and Finite State Machines
In automatic video content analysis domain, the key challenges are how to recognize important objects and how to model the spatiotemporal relationships between them. In this paper...
Liang Bai, Songyang Lao, Gareth J. F. Jones, Alan ...
MM
2006
ACM
157views Multimedia» more  MM 2006»
15 years 3 months ago
Player action recognition in broadcast tennis video with applications to semantic analysis of sports game
Recognition of player actions in broadcast sports video is a challenging task due to low resolution of the players in video frames. In this paper, we present a novel method to rec...
Guangyu Zhu, Changsheng Xu, Qingming Huang, Wen Ga...
ICIAR
2007
Springer
15 years 3 months ago
Image Retrieval Using Transaction-Based and SVM-Based Learning in Relevance Feedback Sessions
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
Xiaojun Qi, Ran Chang
TRECVID
2007
14 years 11 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 ...
ICIP
2010
IEEE
14 years 7 months ago
Dynamic selection of a feature-rich query frame for mobile video retrieval
In this paper, we focus on a new application of mobile visual search: snapping a photo with a mobile device of a video playing on a TV screen to automatically retrieve and stream ...
David M. Chen, Ngai-Man Cheung, Sam S. Tsai, Vijay...