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» Content-Based Image Retrieval Using Multiple Representations
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CISST
2004
164views Hardware» more  CISST 2004»
14 years 11 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
ICVGIP
2004
14 years 11 months ago
Content Based Image Retrieval with Multiresolution Salient Points
This paper presents a robust technique for Content Based Image Retrieval (CBIR) using salient points of an image. The salient points are extracted from different levels of the uns...
Minakshi Banerjee, Malay K. Kundu
MTA
2000
165views more  MTA 2000»
14 years 9 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung
ECIR
2004
Springer
14 years 11 months ago
NNk Networks for Content-Based Image Retrieval
Abstract. This paper describes a novel interaction technique to support content-based image search in large image collections. The idea is to represent each image as a vertex in a ...
Daniel Heesch, Stefan M. Rüger
86
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VISUAL
1999
Springer
15 years 1 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...