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» Using High-Level Semantic Features in Video Retrieval
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IJCAI
2007
14 years 11 months ago
Supervised Latent Semantic Indexing Using Adaptive Sprinkling
Latent Semantic Indexing (LSI) has been shown to be effective in recovering from synonymy and polysemy in text retrieval applications. However, since LSI ignores class labels of t...
Sutanu Chakraborti, Rahman Mukras, Robert Lothian,...
CVPR
2009
IEEE
16 years 5 months ago
Recognizing Realistic Actions from Videos in the Wild
In this paper, we present a systematic framework for re-cognizing realistic actions from videos “in the wild.” Such unconstrained videos are abundant in personal collections as...
Jingen Liu (University of Central Florida), Jiebo ...
EMSOFT
2007
Springer
15 years 4 months ago
E-FRP with priorities
E-FRP is declarative language for programming resourcebounded, event-driven systems. The original high-level semantics of E-FRP requires that each event handler execute atomically...
Roumen Kaiabachev, Walid Taha, Angela Yun Zhu
ICIP
2002
IEEE
15 years 11 months ago
Retrieval of sketches based on spatial relation between strokes
In this paper we propose a method to retrieve sketches stored in the form of multiple strokes, by extracting the shape information for each stroke and by considering the spatial r...
Wing Ho Leung, Tsuhan Chen
WWW
2003
ACM
15 years 10 months ago
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
The web contains a wealth of product reviews, but sifting through them is a daunting task. Ideally, an opinion mining tool would process a set of search results for a given item, ...
Kushal Dave, Steve Lawrence, David M. Pennock