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ICMCS
2006
IEEE
131views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Event-Importance Based Customized and Automatic Cricket Highlight Generation
In this paper, we present a novel approach towards customized and automated generation of sports highlights from its extracted events and semantic concepts. A recorded sports vide...
Maheshkumar H. Kolekar, Somnath Sengupta
ICMCS
2006
IEEE
132views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Clustering-Based Analysis of Semantic Concept Models for Video Shots
In this paper we present a clustering-based method for representing semantic concepts on multimodal low-level feature spaces and study the evaluation of the goodness of such model...
Markus Koskela, Alan F. Smeaton
SEMCO
2007
IEEE
14 years 2 months ago
Searching Visual Semantic Spaces with Concept Filters
Semantic concepts cement the ability to correlate visual information to higher-level semantic concepts. Traditional image search leverages text associated with images, a lowlevel ...
Eric Zavesky, Zhu Liu, David C. Gibbon, Behzad Sha...
ISM
2008
IEEE
156views Multimedia» more  ISM 2008»
14 years 2 months ago
Correlation-Based Video Semantic Concept Detection Using Multiple Correspondence Analysis
Semantic concept detection has emerged as an intriguing topic in multimedia research recently. The ability to interpret high-level semantics from low-level features has been the l...
Lin Lin, Guy Ravitz, Mei-Ling Shyu, Shu-Ching Chen
MM
2009
ACM
277views Multimedia» more  MM 2009»
14 years 3 months ago
Inferring semantic concepts from community-contributed images and noisy tags
In this paper, we exploit the problem of inferring images’ semantic concepts from community-contributed images and their associated noisy tags. To infer the concepts more accura...
Jinhui Tang, Shuicheng Yan, Richang Hong, Guo-Jun ...
SEMWEB
2009
Springer
14 years 3 months ago
Learning Semantic Query Suggestions
An important application of semantic web technology is recognizing human-defined concepts in text. Query transformation is a strategy often used in search engines to derive querie...
Edgar Meij, Marc Bron, Laura Hollink, Bouke Huurni...
ISBI
2009
IEEE
14 years 3 months ago
Bridging the Semantic Gap Using Ranking Svm for Image Retrieval
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
WWW
2004
ACM
14 years 9 months ago
Web image learning for searching semantic concepts in image databases
Without textual descriptions or label information of images, searching semantic concepts in image databases is still a very challenging task. While automatic annotation techniques...
Chu-Hong Hoi, Michael R. Lyu
CVPR
2004
IEEE
14 years 10 months ago
Hidden Semantic Concept Discovery in Region Based Image Retrieval
This paper addresses Content Based Image Retrieval (CBIR), focusing on developing a hidden semantic concept discovery methodology to address effective semanticsintensive image ret...
Ruofei Zhang, Zhongfei (Mark) Zhang