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Location hashing: An efficient indexing method for locating object queries in image databases

Location hashing: An efficient indexing method for locating ...

引用

7th storage and retrieval for image and video databases conference

作者： Syeda-Mahmood, T IBM Corp Almaden Res Ctr San Jose CA 95120 USA

ISBN: (纸本)0819431273

Queries referring to content embedded within images are an essential component of content-based search, browse, or summarize operations in image databases. Localization of such queries under changes in appearance, occlusions and background clutter, is a difficult problem, for which current spatial access structures in databases are not suitable. In this paper we present a new method of indexing image databases called location hashing that uses a special data structure called the location hash tree (LHT) for organizing feature information from images of a database. Location hashing is based on the principle of geometric hashing and determines simultaneously, the relevant images in the database and the regions within them that are most likely to contain a 2d pattern query without incurring detailed search of either. The location hash tree being a red-black tree, allows for efficient search for candidate locations using pose-invariant feature information derived from the query.

关键词： databases Low-intensity laser therapy image segmentation Nanoimprint lithography Data modeling Quantization Affine motion model Feature extraction image retrieval Surgery

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Interactive classification and indexing of still and motion pictures in videoRoadMap

Interactive classification and indexing of still and motion ...

引用

conference on Multimedia storage and Archiving Systems iii

作者： Park, YC Golshani, F Panchanathan, S Candan, KS Arizona State Univ Dept Comp Sci & Engn Tempe AZ 85287 USA

ISBN: (纸本)0819429880

The large scale proliferation of multimedia data necessitates the use of sophisticated techniques for accessing the information based on the content. videoRoadMap is a new content-based video indexing system for retrieving video clips and images from multimedia databases. The system indexes the audio-visual information using spatio-temporal features and information modeling methods. The proposed system employs adaptive similarity measurements based on the contents of media objects, resulting in more accurate retrievals. Principal component analysis and second order statistical analysis are employed to determine the appropriate combination of weight values in similarity search. In addition, videoRoadMap includes a powerful multi-faceted querying mechanism which allows queries to be formulated and presented in a variety of modes, including query by example (image and/or video), query by sketch, and query by object motion trajectory.

关键词： content-based multimedia object retrieval subjectivity modeling audio-visual information analysis

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image retrieval system based on interactive reduction of feature space

Image retrieval system based on interactive reduction of fea...

引用

7th storage and retrieval for image and video databases conference

作者： Kobayashi, A Yoshida, T Sakai, Y Tokyo Inst Technol Fac Engn Tokyo 1528552 Japan

ISBN: (纸本)0819431273

This paper proposes an image retrieval system which searches a database for images similar to a target, imagined by a user. The system uses image features, rather than keywords, and retrieves images by reducing a multidimensional feature space generated by the image feature vectors. First, the system presents the user some sample images with a suitable feature vector value and requires the user's interaction to obtain information on which image is similar to the target he/she has in his/her mind. Then, the information is used to appropriately reduce the feature space. This process is continued until the target region is reduced to a suitable volume. Since this method requires neither real target image nor keywords in retrieving, it is quite simple and practical. Experimental results show the advantage and efficiency of the proposed system.

关键词： image database image retrieval feature space interactive retrieval

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videoBase - a prototype of video database managing system

VideoBase - a prototype of video database managing system

引用

7th storage and retrieval for image and video databases conference

作者： Bai, XS Xu, GY Shi, YC Tsinghua Univ Natl Key Lab Intelligent Technol & Syst Dept Comp Sci & Technol Beijing 110084 Peoples R China

ISBN: (纸本)0819431273

Content based retrieval on large multimedia database attracts the interests of many researchers, but the database architecture needed for content based retrieval is still an open problem. Traditional relation database system does not support the high-dimension feature form content description and indexing, thus is limited in its content based retrieval function. Some systems do support high-dimension feature form content description and indexing, but lacks descriptions and query expressions on media object content and relations. In this paper, we present our study results on query mechanism and proposed CbEEpr - a power flexible query expression mechanism on media object. Based on CbExpr we proposed GMA (general mediabase architecture) -a general architecture for management and content based retrieval on large media databases, and videoBase - a content based video retrieval system is present as example of GMA. Basic thoughts, considerations, and definitions are presented in the paper, also with some implementation details.

关键词： mediabase flexible query mechanism similarity indexing general mediabase architecture shot frequency

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Eigendecomposition-based analysis of video images

Eigendecomposition-based analysis of video images

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7th storage and retrieval for image and video databases conference

作者： Chang, CY Maciejewski, AA Balakrishnan, V Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA

ISBN: (纸本)0819431273

We present a fast algorithm for computing the singular value decomposition (SVD) of a matrix consisting of the frames from a video sequence. The computational efficiency of this algorithm derives from the observation that portions of a video sequence will consist of sets of correlated frames. We then show that the information obtained from the SVD can be used to analyze video sequences to obtain information such as scene breaks, scene query, reduced-order shot representation and key frame determination. We illustrate this approach on several video sequences.

关键词： eigenimages eigendecomposition singular value decomposition (SVD) video analysis

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Content-based live video retrieval by telop character recognition: TV-on-demand

Content-based live video retrieval by telop character recogn...

引用

7th storage and retrieval for image and video databases conference

作者： Takahata, M Kuwano, H Kurakake, S Matsuda, C Nishimura, K Nippon Telegraph & Tel Corp Human Interface Labs Musashino Tokyo 1808585 Japan

ISBN: (纸本)0819431273

We have developed a TV-on-demand system that provides playback of a television program after a period ranging from a few seconds to one week after broadcast, and have conducted usage trials in cooperation with a television station in Nagano Prefecture of Japan. This system has been achieved through the development of various technologies such as automatic updating of stored television programs and contents retrieval by telop characters, Users in the trials can begin playback of a television program immediately after its broadcast has begun. The purpose of the trials was to evaluate the system's usability in applications such as contents retrieval, selective viewing of commercials, and customer service at the television station. This paper presents applied technologies and some experimental results and also addresses a new direction of information retrieval system based on the evaluation of the usage trials.

关键词： video-on-demand content-based retrieval telop character recognition automatic video indexing

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Semantic feature extraction for interior environment understanding and retrieval

Semantic feature extraction for interior environment underst...

引用

7th storage and retrieval for image and video databases conference

作者： Lei, ZB Liang, YF AT&T Bell Labs Lucent Technol Murray Hill NJ 07974 USA

ISBN: (纸本)0819431273

In this paper we propose a novel system of semantic feature extraction and retrieval for interior design and decoration application. The system, (VID)-I-2 (Virtual Visual Interior Design), uses colored texture and spatial edge layout to obtain simple information about global room environment. We address the domain specific segmentation problem in our application and present techniques for obtaining semantic features from a room environment. Sire also discuss heuristics for making use of these features (color, texture, edge layout and shape) to retrieve objects from an existing database. The final resynthesized room environment with original scene and objects from database is created for the purpose of animation and virtual walk-through.

关键词： image understanding content based image retrieval segmentation colored-texture processing image based rendering image synthesis

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DrawSearch: A tool for interactive content-based image retrieval over the net

DrawSearch: A tool for interactive content-based image retri...

引用

7th storage and retrieval for image and video databases conference

作者： Di Sciascio, E Mongiello, M Politecn Bari Dipartimento Elettrotecn & Elettron I-70125 Bari Italy

ISBN: (纸本)0819431273

Content Based image retrieval has recently become one of the most active research areas, due to the massive increase in the amount and complexity of digitized data being stored, transmitted and accessed. We present here a prototype implementation of DRAWSEARCH, an image retrieval by content system that uses color and shape (and texture in the near future) features to index and retrieve images. The system, currently being tested and improved, is designed to increase interactivity with users posing queries over the Internet and avails of a Java client for query by sketch. It also implements relevance feedback to allow users dynamically refine queries. Experiments show that the proposed approach can greatly reduce the user's effort to compose a query while capturing his/her information need with greater precision.

关键词： retrieval by image content vector space model query by sketch relevance feedback human-computer interaction WWW

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Choosing efficient feature sets for video classification

Choosing efficient feature sets for video classification

引用

7th storage and retrieval for image and video databases conference

作者： Fischer, S Steinmetz, R Tech Univ Darmstadt Dept Elect Engn & Informat Technol Ind Proc & Syst Commun D-64283 Darmstadt Germany

ISBN: (纸本)0819431273

In this paper we address the problem of choosing appropriate features to describe the content of still pictures or video sequences including audio. As the computational analysis of these features is often time-consuming it is useful to identify a minimal set allowing for an automatic classification of some class or genre. Further it can be shown that deleting the coherence of the features characterizing some class is not suitable to guarantee an optimal classification result. The central question of the paper is thus which features should be selected and how they should be weighted to optimize a classification problem.

关键词： content processing automatic video classification video analysis audio analysis

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video segmentation in the wavelet domain

Video segmentation in the wavelet domain

引用

conference on Multimedia storage and Archiving Systems iii

作者： Mandal, MK Panchanathan, S Univ Ottawa Sch Informat Technol & Engn Ottawa ON K1N 6N5 Canada

ISBN: (纸本)0819429880

Automatic video indexing is an important feature in the design of a video databases. Recently, compressed domain techniques have become popular due their inherent advantages of efficiency and reduced complexity. Wavelet transform is emerging as a powerful tool for efficient compression of visual information. A variety of wavelet based video compression techniques have been reported in the literature. However, there has been little work done in the area of video indexing in the wavelet domain. In this paper, we present video segmentation techniques in a wavelet based compression framework. These techniques employ wavelet coefficients, their distribution, and the motion vectors estimated by the associated video coder. Simulation result shows that the proposed techniques provide a good indexing performance at a low complexity.

关键词： video segmentation indexing content-based retrieval wavelets motion vectors

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