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GRAPH LAPLACIAN FOR INTERACTIVE IMAGE RETRIEVAL
"... Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in a step-by-step labeling of a very small fraction of an image database and iteratively refining a decision rule using both the labeled and unla ..."
Abstract
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Cited by 3 (2 self)
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Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in a step-by-step labeling of a very small fraction of an image database and iteratively refining a decision rule using both the labeled
Interactive Image Retrieval with Wavelet Features
"... Abstract. This paper presents an iterative Content Based Image Retrival(CBIR) system with Relevance Feedback (RF), in which M-band wavelet features are used as representation of images. The pixels are clustered using Fuzzy C-Means (FCM) clustering algorithm to obtain an image signature and Earth Mov ..."
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Cited by 2 (2 self)
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Abstract. This paper presents an iterative Content Based Image Retrival(CBIR) system with Relevance Feedback (RF), in which M-band wavelet features are used as representation of images. The pixels are clustered using Fuzzy C-Means (FCM) clustering algorithm to obtain an image signature and Earth
Interactive Image Retrieval over the Internet
"... In the paper, an efficient image database system is developed. The most important features of the proposed system include compressed domain indexing, searching by using scalable features, and progressive image transmission. User interaction is involved at both the search refinement stage and display ..."
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In the paper, an efficient image database system is developed. The most important features of the proposed system include compressed domain indexing, searching by using scalable features, and progressive image transmission. User interaction is involved at both the search refinement stage
Interactive Image Retrieval with Wavelet Features
, 2011
"... All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately. ..."
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All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.
Interactive Image Retrieval in a Fuzzy Framework
"... Abstract. In this paper, an interactive image retrieval scheme using MPEG-7 visual descriptors is proposed. The performance of image retrieval systems is still limited due to semantic gap, which is created from the discrepancies between the computed low-level features (color, texture, shape, etc.) a ..."
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Cited by 2 (2 self)
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Abstract. In this paper, an interactive image retrieval scheme using MPEG-7 visual descriptors is proposed. The performance of image retrieval systems is still limited due to semantic gap, which is created from the discrepancies between the computed low-level features (color, texture, shape, etc
SnapFind: brute force interactive image retrieval
- In Proceedings of International Conference on Image Processing and Graphics
, 2004
"... SnapFind is an image retrieval system that enables efficient interactive search of large data sets by exploiting active disk technology. In contrast to earlier approaches, where data is typically pre-indexed for efficient retrieval according to a fixed scheme, SnapFind provides users with the flexib ..."
Abstract
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Cited by 11 (4 self)
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SnapFind is an image retrieval system that enables efficient interactive search of large data sets by exploiting active disk technology. In contrast to earlier approaches, where data is typically pre-indexed for efficient retrieval according to a fixed scheme, SnapFind provides users
Interactive Image Retrieval By Means Of Abductive Inference
- In RIAO 97 Conference Proceedings { ComputerAssisted Information Searching on Internet
, 1997
"... Current research and development in image retrieval has yielded an extensive collection of feature extraction algorithms. Just to mention a few, texture analysis, sketch comparison, color similarity measures, etc. have shown to be useful matching tools in certain domains. Unfortunately, the design o ..."
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Cited by 4 (2 self)
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of current image retrieval systems tends to be somewhat one-sided, stressing mainly technical issues. This paper describes a formal framework to provide means for effective, interactive retrieval sessions. The key idea is to model the characteristics of image retrieval algorithms. Each algorithm is described
Semantic Kernel Learning for Interactive Image Retrieval
- IEEE International Conference on Image Processing
"... Content-based image retrieval systems still have difculties to bridge the semantic gap between the low-level representation of images and the high level concepts the user is looking for. Rele-vance feedback methods deal with this problem using labels pro-vided by users, but only during the current r ..."
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Cited by 5 (2 self)
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Content-based image retrieval systems still have difculties to bridge the semantic gap between the low-level representation of images and the high level concepts the user is looking for. Rele-vance feedback methods deal with this problem using labels pro-vided by users, but only during the current
Content-based image retrieval at the end of the early years
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 2000
"... The paper presents a review of 200 references in content-based image retrieval. The paper starts with discussing the working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap. Subsequent sections discuss computational steps for imag ..."
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Cited by 1618 (24 self)
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The paper presents a review of 200 references in content-based image retrieval. The paper starts with discussing the working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap. Subsequent sections discuss computational steps
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