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ICTIR
2009
Springer
16 years 1 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...
CLEF
2004
Springer
16 years 6 days ago
Medical Image Retrieval Using Texture, Locality and Colour
We describe our experiments for the Image CLEF medical retrieval task. Our efforts were focused on the initial visual search. A content based approach was followed. We used textur...
Peter Howarth, Alexei Yavlinsky, Daniel Heesch, St...
APCCAS
2002
IEEE
92views Hardware» more  APCCAS 2002»
15 years 11 months ago
A cellular-automaton-type image extraction algorithm and its implementation using an FPGA
This paper proposes a new region extraction algorithm based on cellular automaton operation, which only utilizes the region boundary information of the image. A simple pixel circu...
Teppei Nakano, Takashi Morie, Makoto Nagata, Atsus...
VISUAL
1999
Springer
15 years 11 months ago
Relevance Feedback and Term Weighting Schemes for Content-Based Image Retrieval
This paper describes the application of techniques derived from text retrieval research to the content-based querying of image databases. Speci cally, the use of inverted les, fre...
David Squire, Wolfgang Müller 0002, Henning M...
KES
1998
Springer
15 years 11 months ago
Passive ranging using image expansion
This paper describes a new technique for passive ranging which is of special interest in areas such as covert nap-of-the-earth helicopter flight and spacecraft landing. This techn...
Yair Barniv