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ICMCS
2005
IEEE
155views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Content-Free Image Retrieval Based on Relations Exploited from User Feedbacks
We propose a new “content-free” image retrieval method which attempts to exploit certain common tendencies that exist among people’s interpretation of images from user feedb...
Shingo Uchihashi, Takeo Kanade
CIVR
2005
Springer
107views Image Analysis» more  CIVR 2005»
13 years 10 months ago
Content-Free Image Retrieval by Combinations of Keywords and User Feedbacks
The performance of a new content-free approach to image retrieval is demonstrated. Accumulated user feedback data that specify which images are (ir)relevant to each other and keywo...
Shingo Uchihashi, Takeo Kanade
JMLR
2010
141views more  JMLR 2010»
12 years 11 months ago
Pinview: Implicit Feedback in Content-Based Image Retrieval
This paper describes Pinview, a content-based image retrieval system that exploits implicit relevance feedback during a search session. Pinview contains several novel methods that...
Peter Auer, Zakria Hussain, Samuel Kaski, Arto Kla...
ECML
2004
Springer
13 years 10 months ago
Exploiting Unlabeled Data in Content-Based Image Retrieval
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...
Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang
SIGIR
2010
ACM
12 years 11 months ago
Personalised video retrieval: application of implicit feedback and semantic user profiles
TION ABSTRACT Personalised Video Retrieval: Application of Implicit Feedback and Semantic User Profiles Frank Hopfgartner University of Glasgow Glasgow G12 8QQ United Kingdom A ch...
Frank Hopfgartner