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» Adaptive Feature Selection in Image Segmentation
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ACCV
2009
Springer
14 years 2 months ago
Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach
Abstract. This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well ...
Qi Zhao, Zhi Yang, Hai Tao, Wentai Liu
ICMCS
2005
IEEE
150views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Automatic parsing of American football videos by intermodal collaboration based on transition rules
This paper proposes an automatic American football video parsing method based on transition rules of an American football game. Combining the results of live scene extraction and ...
Naoko Nitta, Noboru Babaguchi
CIVR
2003
Springer
156views Image Analysis» more  CIVR 2003»
14 years 19 days ago
Towards a Comprehensive Survey of the Semantic Gap in Visual Image Retrieval
This paper adopts the premise that the ‘semantic gap' is an incompletely surveyed feature in the landscape of visual image retrieval, and proposes a framework within which t...
Peter G. B. Enser, Christine J. Sandom
ICIP
2004
IEEE
14 years 9 months ago
Simultaneous background and foreground modeling for tracking in surveillance video
We present a stochastic tracking algorithm for surveillance video where targets are dim and at low resolution. The algorithm builds motion models for both background and foregroun...
Jie Shao, Shaohua Kevin Zhou, Rama Chellappa
ICIP
2005
IEEE
14 years 9 months ago
Tracking points on deformable objects with ranklets
We present a robust algorithm for point tracking on deformable objects. The key elements are the use of orientation selective rank features (ranklets), local filter adaptation and...
Fabrizio Smeraldi, Alessio Del Bue, Lourdes de Aga...