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» Using High-Level Semantic Features in Video Retrieval
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CVPR
2008
IEEE
15 years 11 months ago
Recognizing human actions using multiple features
In this paper, we propose a framework that fuses multiple features for improved action recognition in videos. The fusion of multiple features is important for recognizing actions ...
Jingen Liu, Saad Ali, Mubarak Shah
CLEF
2004
Springer
15 years 3 months ago
How to Visually Retrieve Images from the St. Andrews Collection Using GIFT
Abstract. The ImageCLEF task of CLEF has a main goal in the retrieval of images from multi–lingual collections. The 2003 imageCLEF saw no group using the visual information of im...
Henning Müller, Antoine Geissbühler
ICMCS
2008
IEEE
330views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Automatic trademark detection and recognition in sport videos
In this paper we describe a system for automatic detection and recognition of trademarks in sports videos. We propose a compact representation of trademarks based on SIFT feature ...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
CIVR
2004
Springer
116views Image Analysis» more  CIVR 2004»
15 years 3 months ago
A Visual Model Approach for Parsing Colonoscopy Videos
Abstract. Colonoscopy is an important screening procedure for colorectal cancer. During this procedure, the endoscopist visually inspects the colon. Currently, there is no content-...
Yu Cao, Wallapak Tavanapong, Dalei Li, Jung-Hwan O...
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 3 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang