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SIGIR
2004
ACM
14 years 2 months ago
Evaluating content-based filters for image and video retrieval
This paper investigates the level of metadata accuracy required for image filters to be valuable to users. Access to large digital image and video collections is hampered by ambig...
Michael G. Christel, Neema Moraveji, Chang Huang
SMI
2008
IEEE
126views Image Analysis» more  SMI 2008»
14 years 2 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, ...
KBS
2007
103views more  KBS 2007»
13 years 8 months ago
Eye-tracking for user modeling in exploratory learning environments: An empirical evaluation
In this paper, we describe research on using eye-tracking data for on-line assessment of user meta-cognitive behavior during interaction with an environment for exploration-based ...
Cristina Conati, Christina Merten
ICTIR
2009
Springer
14 years 3 months ago
A Four-Factor User Interaction Model for Content-Based Image Retrieval
In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...
Haiming Liu 0002, Victoria S. Uren, Dawei Song, St...
DAWAK
2001
Springer
14 years 1 months ago
Discovering Web Document Associations for Web Site Summarization
Complex web information structures prevent search engines from providing satisfactory context-sensitive retrieval. We see that in order to overcome this obstacle, it is essential t...
K. Selçuk Candan, Wen-Syan Li