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» Using High-Level Semantic Features in Video Retrieval
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LREC
2010
178views Education» more  LREC 2010»
14 years 11 months ago
Design and Data Collection for the Accentological Corpus of the Russian Language
Accentological corpus provides a researcher an opportunity to study word stress and stress variation, which are very important for the Russian language. Moreover, Accentological c...
Elena Grishina, Svetlana Savchuk, Alexej Poljakov
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
15 years 10 months ago
Discovering informative content blocks from Web documents
In this paper, we propose a new approach to discover informative contents from a set of tabular documents (or Web pages) of a Web site. Our system, InfoDiscoverer, first partition...
Shian-Hua Lin, Jan-Ming Ho
CVPR
2006
IEEE
15 years 12 months ago
AnnoSearch: Image Auto-Annotation by Search
Although it has been studied for several years by computer vision and machine learning communities, image annotation is still far from practical. In this paper, we present AnnoSea...
Xin-Jing Wang, Lei Zhang, Feng Jing, Wei-Ying Ma
TCSV
2002
90views more  TCSV 2002»
14 years 9 months ago
Shot-boundary detection: unraveled and resolved?
Partitioning a video sequence into shots is the first step toward video-content analysis and content-based video browsing and retrieval. A video shot is defined as a series of inte...
Alan Hanjalic
ICPR
2000
IEEE
15 years 11 months ago
Optimal Color Composition Matching of Images
Color features are among the most important features used in image database retrieval, especially in cases where no additional semantic information is available. Due to its compac...
Jianying Hu, Aleksandra Mojsilovic