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» Learning in Region-Based Image Retrieval
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ICIP
2000
IEEE
14 years 10 months ago
Incorporate Support Vector Machines to Content-Based Image Retrieval with Relevant Feedback
By using relevance feedback [6], Content-Based Image Retrieval (CBIR) allows the user to retrieve images interactively. The user can select the most relevant images and provide a ...
Pengyu Hong, Qi Tian, Thomas S. Huang
CVPR
2000
IEEE
14 years 11 months ago
Discriminant-EM Algorithm with Application to Image Retrieval
In Proc. of IEEE Conf. on CVPR'2000, Vol.I, pp.222-227, Hilton Head Island, SC, 2000 In many vision applications, the practice of supervised learning faces several difficulti...
Ying Wu, Qi Tian, Thomas S. Huang
ACCV
2007
Springer
14 years 3 months ago
Combined Object Detection and Segmentation by Using Space-Time Patches
This paper presents a method for classifying the direction of movement and for segmenting objects simultaneously using features of space-time patches. Our approach uses vector quan...
Yasuhiro Murai, Hironobu Fujiyoshi, Takeo Kanade
AMR
2007
Springer
140views Multimedia» more  AMR 2007»
14 years 3 months ago
Learning Distance Functions for Automatic Annotation of Images
This paper gives an overview of recent approaches towards image representation and image similarity computation for content-based image retrieval and automatic image annotation (ca...
Josip Krapac, Frédéric Jurie
SMI
2008
IEEE
126views Image Analysis» more  SMI 2008»
14 years 3 months ago
SHREC'08 entry: Semi-supervised learning for semantic 3D model retrieval
A shape feature by itself is not sufficient for effective 3D model retrieval. Long-lasting semantics shared by a community as well as a short-lived intention of a user determines ...
Akihiro Yamamoto, Masaki Tezuka, Toshiya Shimizu, ...