ICMCS
2006
IEEE
14 years 5 months ago
2006
IEEE
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...
ICMCS
2006
IEEE
14 years 5 months ago
2006
IEEE
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...
SEMCO
2007
IEEE
14 years 5 months ago
2007
IEEE
Semantic concepts cement the ability to correlate visual information to higher-level semantic concepts. Traditional image search leverages text associated with images, a lowlevel ...
ISM
2008
IEEE
14 years 6 months ago
2008
IEEE
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...
MM
2009
ACM
14 years 6 months ago
2009
ACM
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...
SEMWEB
2009
Springer
14 years 6 months ago
2009
Springer
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...
ISBI
2009
IEEE
14 years 6 months ago
2009
IEEE
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...
WWW
2004
ACM
15 years 5 days ago
2004
ACM
Without textual descriptions or label information of images, searching semantic concepts in image databases is still a very challenging task. While automatic annotation techniques...
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
This paper addresses Content Based Image Retrieval (CBIR), focusing on developing a hidden semantic concept discovery methodology to address effective semanticsintensive image ret...