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» Using High-Level Semantic Features in Video Retrieval
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ISMIR
2004
Springer
90views Music» more  ISMIR 2004»
15 years 3 months ago
Automatic extraction of music descriptors from acoustic signals
High-Level music descriptors are key ingredients for music information retrieval systems. Although there is a long tradition in extracting information from acoustic signals, the f...
François Pachet, Aymeric Zils
IJCV
2006
165views more  IJCV 2006»
14 years 9 months ago
A Critical View of Context
In this study, a discriminative detector for object context is designed and tested. The context-feature is simple to implement, feed-forward, and effective across multiple object t...
Lior Wolf, Stanley M. Bileschi
TCSV
2002
134views more  TCSV 2002»
14 years 9 months ago
Factor graph framework for semantic video indexing
Video query by semantic keywords is one of the most challenging research issues in video data management. To go beyond low-level similarity and access video data content by semanti...
Milind R. Naphade, Igor Kozintsev, Thomas S. Huang
CIVR
2006
Springer
117views Image Analysis» more  CIVR 2006»
15 years 1 months ago
Video Clip Matching Using MPEG-7 Descriptors and Edit Distance
Abstract. Video databases require that clips are represented in a compact and discriminative way, in order to perform efficient matching and retrieval of documents of interest. We ...
Marco Bertini, Alberto Del Bimbo, Walter Nunziati
BCSHCI
2008
14 years 11 months ago
SMART: a SysteM of Augmented Reality for Teaching 2nd grade students
In this paper, we describe the design and evaluation of SMART, an educational system that uses augmented reality for teaching 2nd grade-level concepts, adequate and integrated wit...
Rubina Freitas, Pedro Campos