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» Exploring statistical correlations for image retrieval
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ICMCS
2009
IEEE
107views Multimedia» more  ICMCS 2009»
13 years 3 months ago
Exploiting genre for music emotion classification
Genre and emotion have been applied to content-based music retrieval and organization; however, the intrinsic correlation between them has not been explored. In this paper we pres...
Yu-Ching Lin, Yi-Hsuan Yang, Homer H. Chen, I-Bin ...
ICMCS
2007
IEEE
167views Multimedia» more  ICMCS 2007»
13 years 5 months ago
A Probability Model for Image Annotation
Automatic image annotation is a promising solution to enable more effective image retrieval by keywords. Traditionally, statistical models for image auto-annotation predicate each...
Yong Ge, Richang Hong, Zhiwei Gu, Rong Zhang, Xiuq...
ICDE
2000
IEEE
189views Database» more  ICDE 2000»
14 years 6 months ago
Image Database Retrieval with Multiple-Instance Learning Techniques
In this paper, we develop and test an approach to retrieving images from an image database based on content similarity. First, each picture is divided into many overlapping region...
Cheng Yang, Tomás Lozano-Pérez
CIVR
2004
Springer
205views Image Analysis» more  CIVR 2004»
13 years 9 months ago
Finding Person X: Correlating Names with Visual Appearances
People as news subjects carry rich semantics in broadcast news video and therefore finding a named person in the video is a major challenge for video retrieval. This task can be ac...
Jun Yang 0003, Ming-yu Chen, Alexander G. Hauptman...
ACSC
2007
IEEE
13 years 11 months ago
Exploring Human Judgement of Digital Imagery
Statistical learning methods are commonly applied in content-based video and image retrieval. Such methods require a large number of examples which are usually obtained through a ...
Timo Volkmer, James A. Thom, Seyed M. M. Tahaghogh...