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Refining image retrieval based on context-driven methods

Refining image retrieval based on context-driven methods

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Hong, Dezhong Wu, Jian-Kang Singh, Sumeet Sohan RWCP Information-Base Functions KRDL Lab Singapore

A prototype of the content-based image retrieval system is implemented based on the algorithms introduced in this paper. the image contents at the high levels are extracted. the fuzzy C-means classifier is employed to compute the object clusters and provide useful information for overlapped clusters. the automatic image segmentation and categorisation is achieved. To obtain the context for image retrieval, the subjective context and the objective context are modelled by means of the fuzzy sets theory. the system is able to trace the users' interactions during retrieval. the refinements of the retrieval results can be made while the users are submitting the queries telling the specific requirements.

关键词： Feature extraction

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MUVIS: a system for content-based indexing and retrieval in large image databases

MUVIS: a system for content-based indexing and retrieval in ...

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Cheikh, Faouzi Alaya Cramariuc, Bogdan Reynaud, Carole Quinghong, Meng Dragos-Adrian, Badea Hnich, Brahim Gabbouj, Moncef Kerminen, Petteri Makinen, Timo Jaakkola, Hannu Signal Processing Lab of Information Technology Tampere Finland

A new system, the so-called MUVIS, is introduced for content-based indexing and retrieval for image database management systems. In addition to traditional indexing by key words, MUVIS allows indexing of objects and images based on color, texture, shape and objects layout inside them. Due to the use of large vector features, the pyramid trees are employed to create the index structure.

关键词： Information retrieval systems

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Contextual bitplane coding for DWT image compression 5

Contextual bitplane coding for DWT image compression

引用

conference on storage and retrieval for image and video databases V

作者： NguyenPhi, K Weinrichter, H Technische Univ. Wien (Austria)

ISBN: (纸本)0819424331

We propose anew simple image coder based on Discrete Wavelet Transform (DWT). the DWT coefficients are coded in bitplanes. We use a variable order Markovian model to code the DWT coefficient bitplanes. Recently, we have developed this method that used 65 contexts(7). In this paper, the number of contexts is reduced to 34. We show the experimental results, both in terms of distortion measurement and visual comparison, and compare them to well-known methods.

关键词： wavelet image compression bitplane coding zero-tree coding

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video and image clustering using relative entropy

Video and image clustering using relative entropy

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Iyengar, Giridharan Lippman, Andrew B. MIT Media Lab Cambridge MA United States

In this paper, we present an approach to clustering video sequences and images for efficient retrieval using relative entropy as our cost criterion. In addition, our experiments indicate that relative entropy is a good similarity measure for content-based retrieval. In our clustering work, we treat images and video as probability density functions over the extracted features. this leads us to formulate a general algorithm for clustering densities. In this context, it can be seen that an euclidean distance between features and the Kullback-Liebler (KL) divergence give equivalent clustering. In addition, the asymmetry of the KL divergence leads to another clustering. Our experiments indicate that this clustering is more robust to noise and distortions compared with the one resulting from euclidean norm.

关键词： image segmentation

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image query and indexing for digital X-rays

Image query and indexing for digital X-rays

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Long, L.Rodney thoma, George R. Natl Library of Medicine Bethesda MD United States

the Web-based Medical Information retrieval System (WebMIRS) allows Internet access to databases containing 17,000 digitized x-ray spine images and associated text data from National Health and Nutrition Examinations Surveys (NHANES). WebMIRS allows SQL query of the text, and viewing of the returned text records and images using a standard browser. We are now working (1) to determine utility of data directly derived from the images in our databases and (2) to investigate the feasibility of computer-assisted or automated indexing of the images to support image retrieval of images of interest to biomedical researchers in the field of osteoarthritis. To build an initial database based on image data, we are manually segmenting a subset of the vertebrae, using techniques from vertebral morphometry. From this, we will derive and add to the database vertebral features. this image-derived data will enhance the user's data access capability by enabling the creation of combined SQL/image-content queries.

关键词： Information retrieval systems

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User interface framework for image searching

User interface framework for image searching

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Brewer Jr., Orlie T. Boeing Co Seattle WA United States

this paper describes an API for image searching. the attempt was to isolate the functionality of the GUI from the functionality of the image search engine. the GUI would then make calls to the image search API and could be used with any image search engine implementing that API. Also, different methods of specifying the initial search image are discussed as well as different methods of displaying the results, including the use of 3D using VRML.

关键词： Graphical user interfaces

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video segmentation and classification for content based storage and retrieval using motion vectors

Video segmentation and classification for content based stor...

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Fernando, W.A.C. Canagaraja, C.N. Bull, D.R. Univ of Bristol Bristol United Kingdom

video parsing is an important step in content-based indexing techniques where the input video is decomposed into segments with uniform content. In video parsing detection of scene changes is one of the approaches widely used for extracting key frames from the video sequence. In this paper, an algorithm based on motion vectors is proposed to detect sudden scene changes and gradual scene changes (camera movements such as panning, tilting and zooming). Unlike some of the existing schemes, the proposed scheme is capable of detecting both sudden and gradual changes in uncompressed as well as compressed domain video. It is shown that the resultant motion vector can be used to identify and classify gradual changes due to camera movements. Results show that algorithm performed as well as the histogram-based schemes with uncompressed video. the performance of the algorithm was also investigated with H.263 compressed video. the detection and classification of both sudden and gradual scene changes was successfully demonstrated.

关键词： image segmentation

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WAY-LOOK4: A CBIR System Based on Class Signature of the images' Color and Texture Features

WAY-LOOK4: A CBIR System Based on Class Signature of the Ima...

引用

7th ACS/IEEE International conference on Computer Systems and Applications (AICCSA-09)

作者： Omar, Samia G. Ismail, Mohamed A. Ghanem, Sahar M. Univ Alexandria Fac Engn Comp & Syst Engn Dept Alexandria 21544 Egypt

ISBN: (纸本)9781424438075

this paper presents WhatAreYouLOOKing4 (WAY-LOOK4) system, a novel framework for content-based image retrieval (CBIR). Local descriptors are used to describe the visual contents of an image. image signatures and similarity retrieval are based on the images' color and texture features. the main motivation of the system design is to use simple and efficient techniques to maintain reasonable computational and storage cost. the proposed technique has three system components: feature extraction, image database indexing and similarity retrieval. First, the use of circular sectors is proposed to represent local first order moment for the color feature. In addition, a local direction technique is used for texture feature extraction. Secondly, the hash indexing of the images' color properties is used to map the database images into classes. Hash indexing speeds up the search and enhances the system scalability for large image databases. thirdly, for similarity retrieval, a degree of similarity is defined based on a weighted sum of the color and texture features. In addition, the similarity retrieval incorporates a minimum accepted degree of similarity provided by the user. the test of similarity is performed in two stages. In the first stage, the index is used to directly hit a class to which the query image may belong. In the second stage, a detailed sequential search is performed to retrieve the most similar images within that class. the simple design of the system and experimental selection of system parameters guarantee that the system maintains reasonable storage and computational cost. Our experiments demonstrate that the average precision of retrieved images is enhanced especially for higher accepted degrees of similarity.

关键词： CBIR image databases image feature extraction image signature image similarity retrieval image indexing

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Combining indexing and learning in iterative refinement

Combining indexing and learning in iterative refinement

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Li, Chung-Sheng Castelli, Vittorio Smith, John R. Bergman, Lawrence IBM T.J. Watson Research Cent Yorktown Heights NY United States

A simultaneous learning and indexing technique is proposed for efficient content-based retrieval of images that can be described by feature vectors. this technique builds a compact high-dimensional index while taking into account that the raw feature space needs to be adjusted for each new application. With this technique, much better efficiency can be achieved as compared to those techniques that do not make provisions for efficient indexing.

关键词： image enhancement

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Content-based search and annotations in multimedia digital libraries 4

Content-based search and annotations in multimedia digital l...

引用

4th Mexican International conference on Computer Science (ENC 2003)

作者： Arias, JA Sánchez, JA Univ Americas Puebla CENTIA Lab Interact & Cooperat Technol Cholula 72820 Mexico

ISBN: (纸本)0769519156

this paper describes a solution for the organization and management of multimedia collections in digital libraries. video U-DL-A (VUDLA) is an extension to a digital library that allows for storage, indexing and annotation of multimedia documents. It functions in such a way that text and image-based queries can be issued in order to retrieve specific scenes from digital video collections. Technologies such as image and speech processing, video streaming, multimedia databases, information retrieval and graphical user interfaces are integrated to produce a novel multimedia, multimodal environment which re-valuates text as an important medium for knowledge transmission. We have developed a fully operational testbed to explore multimedia data properties and organization possibilities as well as a wide range of practical applications.

关键词： Graphical user interfaces image retrieval Indexing Information retrieval Layout Multimedia databases Software libraries Speech processing Streaming media Testing

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