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» Image Retrieval: The MIRACLE Approach
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153
Voted
ICCV
2003
IEEE
15 years 9 months ago
Reinforcement Learning for Combining Relevance Feedback Techniques
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
128
Voted
BC
1998
111views more  BC 1998»
15 years 3 months ago
How to "hear" visual disparities: real-time stereoscopic spatial depth analysis using temporal resonance
Abstract. In a stereoscopic system, both eyes or cameras have a slightly di€erent view. As a consequence, small variations between the projected images exist (`disparities') ...
Bernd Porr, Alex Cozzi, Florentin Wörgöt...
102
Voted
ICPR
2006
IEEE
16 years 4 months ago
Scene Identification using Discriminative Patterns
With the proliferation of camera phones, new information retrieval applications will emerge. The image of a scene captured by a camera phone can be a query to a remote server to i...
Jean-Pierre Chevallet, Joo-Hwee Lim, Sheng Gao
105
Voted
ICIAP
2003
ACM
16 years 3 months ago
A shortest path representation for video summarisation
A novel approach is presented to select multiple key frames within an isolated video shot where there is camera motion causing significant scene change. This is achieved by determ...
Sarah V. Porter, Majid Mirmehdi, Barry T. Thomas
143
Voted
ICIAP
2007
ACM
15 years 10 months ago
k-dimensional Size Functions for Shape Description and Comparison
This paper advises the use of k-dimensional size functions for comparison and retrieval in the context of multidimensional shapes, where by shape we mean something in two or highe...
Andrea Cerri, Silvia Biasotti, Daniela Giorgi