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» Generic Object Detection using Model Based Segmentation
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ICCV
2009
IEEE
16 years 2 months ago
Evaluating Information Contributions of Bottom-up and Top-down Processes
This paper presents a method to quantitatively evaluate information contributions of individual bottom-up and topdown computing processes in object recognition. Our objective is...
Xiong Yang, Tianfu Wu, Song-Chun Zhu
ICIP
2002
IEEE
15 years 11 months ago
Probabilistic home video structuring: feature selection and performance evaluation
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...
Daniel Gatica-Perez, Alexander C. Loui, Ming-Ting ...
ICASSP
2008
IEEE
15 years 4 months ago
Extracting question/answer pairs in multi-party meetings
Understanding multi-party meetings involves tasks such as dialog act segmentation and tagging, action item extraction, and summarization. In this paper we introduce a new task for...
Andreas Kathol, Gökhan Tür
ICMCS
2005
IEEE
102views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Fast camera calibration for the analysis of sport sequences
Semantic analysis of sport sequences requires camera calibration to obtain player and ball positions in real-world coordinates. For court sports like tennis, the marker lines on t...
Dirk Farin, Jungong Han, Peter H. N. de With
SIGMOD
1996
ACM
154views Database» more  SIGMOD 1996»
15 years 1 months ago
METU Interoperable Database System
METU INteroperable Database System (MIND) is a multidatabase system that aims at achieving interoperability among heterogeneous, federated DBMSs. MIND architecture is based on OMG...
Asuman Dogac, Ugur Halici, Ebru Kilic, Gökhan...