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检索条件"任意字段=Storage and Retrieval for Image and Video Databases V 1997"

共 96 条记录，以下是21-30 订阅

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An image and video search engine for the World-Wide Web 5

An image and video search engine for the World-Wide Web

引用

Conference on storage and retrieval for image and video databases v

作者： Smith, JR Chang, SF Department of Electrical Engineering Center for Image Technology for New Media Columbia University New York 10027 NY United States

ISBN: (纸本)0819424331

We describe a visual information system prototype for searching for images and videos on the World-Wide Web. New visual information in the form of images, graphics, animations and videos is being published on the Web at an incredible rate. However, cataloging this visual data is beyond the capabilities of current text-based Web search engines. In this paper, we describe a complete system by which visual information on the Web is (1) collected by automated agents, (2) processed in both text and visual feature domains, (3) catalogued and (4) indexed for fast search and retrieval. We introduce an image and video search engine which utilizes both text-based navigation and content-based technology for searching visually through the catalogued images and videos. Finally, we provide an initial evaluation based upon the cataloging of over one half million images and videos collected from the Web.

关键词： content-based visual query image and video storage and retrieval World-Wide Web

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Navigating from images using generic links based on image content 5

Navigating from images using generic links based on image co...

引用

Conference on storage and retrieval for image and video databases v

作者： Lewis, PH Kuan, J Perry, ST Dobie, MR Davis, HC Hall, W Univ. of Southampton (United Kingdom)

ISBN: (纸本)0819424331

Although content based retrieval of images is increasingly common, the use of media content as a basis for navigation has received relatively little attention. In this paper we describe our recent development of facilities in the MAvIS/Microcosm architecture for generic link authoring and following from non-text media and in particular, the use of shape and texture for content based navigation from images. Applications from a product catalogue and an archaeological collection are presented, together with an outline of an image viewer providing rapid delineation of object shapes in images when authoring or following links.

关键词： content based retrieval content based navigation information retrieval

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Efficient image retrieval with multiple distance measures 5

Efficient image retrieval with multiple distance measures

引用

Conference on storage and retrieval for image and video databases v

作者： Berman, A Shapiro, L Univ. of Washington (United States)

ISBN: (纸本)0819424331

There is a growing need for the ability to query image databases based on image content rather than strict keyword search. Most current image database systems that perform query by content require a distance computation for each image in the database. Distance computations can be time consuming, limiting the usability of such systems. There is thus a need for indexing systems and algorithms that can eliminate candidate images without performing distance calculations. As user needs may change from session to session, there is also a need for run-time creation of distance measures. In this paper, we introduce FIDS, or ''Flexible image Database System.'' FIDS allows the user to query the database based on user-defined polynomial combinations of predefined distance measures. Using an indexing scheme and algorithms based on the triangle inequality, FIDS can return matches to the query image without directly comparing the query image to much of the database. FIDS is currently being tested on a database of eighteen hundred images.

关键词： query by content image database triangle inequality distance measure composition

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Developing high-level representations of video clips using video trails

Developing high-level representations of video clips using v...

引用

storage and retrieval for image and video databases vI Conference

作者： Kobla, v Doermann, D Faloutsos, C Univ Maryland Lab Language & Media Proc College Pk MD 20742 USA

ISBN: (纸本)0819427527

A high-level representation of a video clip comprising information about its physical and semantic structure is necessary for providing appropriate processing, indexing and retrieval capabilities for video databases. We describe a novel technique which reduces a sequence of MPEG encoded video frames to a trail of points in a low dimensional space. In our earlier work,(1) we presented techniques applicable in 3-D, but in this paper, we describe techniques that can be extended to higher dimensions where improved performance is expected. In the low-dimensional space, we can cluster frames, analyze transitions between clusters and compute properties of the resulting trail. Portions of the trail can be classified as either stationary or transitional, leading to high-level descriptions of the video. Tracking the interaction of clusters over time, we lay the groundwork for the complete analysis and representation of the video's physical and semantic structure.

关键词： video representation compressed video analysis MPEG FastMap

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video classification using speaker identification 5

Video classification using speaker identification

引用

Conference on storage and retrieval for image and video databases v

作者： Patel, Nv Sethi, IK Wayne State Univ. (United States)

ISBN: (纸本)0819424331

video content characterization is a challenging problem in video databases. The aim of such characterization is to generate indices that can describe a video clip in terms of objects and their actions in the clip. Generally, such indices are extracted by performing image analysis on video clips. Many such indices can also be generated by analyzing the embedded audio information of video clips. Indices pertaining to context, scene emotion, and actors or characters present in a video dip appear especially suitable for generation via audio analysis techniques of keyword spotting, and speech and speaker recognition. In this paper, we examine the potential of speaker identification techniques for characterizing video clips in terms of actors present in them. We describe a three-stage processing system consisting of a shot boundary detection stage, an audio classification stage, and a speaker identification stage to determine the presence of different actors in isolated shots. Experimental results using the movie Few Good Men are presented to show the efficacy of speaker identification for labeling video clips in terms of persons present in them.

关键词： video indexing speaker identification nearest neighbor classification cepstral coefficients audio classification

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Multiscale branch and bound image database search 5

Multiscale branch and bound image database search

引用

Conference on storage and retrieval for image and video databases v

作者： Chen, JY Bouman, CA Allebach, JP Purdue University (United States)

ISBN: (纸本)0819424331

This paper presents a formal framework for designing search algorithms which can identify target images by the spatial distribution of color, edge and texture attributes. The framework is based on a multiscale representation of both the image data, and the associated parameter space that must be searched. We define a general form for the distance function which insures that branch and bound search can be used to find the globally optimal match. Our distance function depends on the choice of a convex measure of feature distance. For this purpose, we propose the L(1) norm and some other alternative choices such as the Kullback-Liebler and divergence distances. Experimental results indicate that the multiscale approach can improve search performance with minimal computational cost.

关键词： multiscale search image similarity content-based retrieval color histogram convex function

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Compressed domain video indexing techniques using DCT and motion vector information in MPEG video 5

Compressed domain video indexing techniques using DCT and mo...

引用

Conference on storage and retrieval for image and video databases v

作者： Kobla, v Doermann, D Lin, KID Faloutsos, C Univ. of Maryland/College Park (United States)

ISBN: (纸本)0819424331

Development of various multimedia applications hinges on the availability of fast and efficient storage, brews browsing, indexing, and retrieval techniques. Given that video is typically stored efficiently in a compressed format, if we can analyze the compressed representation directly, we can avoid the costly overhead of decompressing and operating at the pixel level. Compressed domain parsing of video has been presented in earlier work where a video clip is divided into shots, subshots, and scenes.(9,11) In this paper, we describe key frame selection, feature extraction, and indexing and retrieval techniques that are directly applicable to MPEG compressed video. We develop a frame-type independent representation of the various types of frames present in an MPEG video in which all frames can be considered equivalent. Features are derived from the available DCT, macroblock, and motion vector information and mapped to a low-dimensional space where they can be accessed with standard database techniques. The spatial information is used as primacy index while the temporal information is used to enhance the robustness of the system during the retrieval process. The techniques presented enable fast archiving, indexing, and retrieval of video. Our operational prototype typically takes a fraction of a second to retrieve similar video scenes from our database, with over 95% success.

关键词： compressed domain analysis video indexing video retrieval FastMap MPEG DCT

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imageGREP: Fast visual pattern matching in image databases 5

ImageGREP: Fast visual pattern matching in image databases

引用

Conference on storage and retrieval for image and video databases v

作者： White, DA Jain, R Univ. of California/San Diego (United States)

ISBN: (纸本)0819424331

Most current image retrieval systems use holistic comparisons that require a global match between images or presegmented object in images. However, often the user of an image database system is interested in a local match between images. For example, ''Find images from the database with something like this anywhere in the image'' or ''Find images with something like this in some region of any image in the database'' or ''Find images with this spatial configuration of regions like this.'' In this paper, we provide an overview of a new framework that should help to allow these types of queries to be answered efficiently. In order to illustrate the usefulness of our framework, we have developed a complete image retrieval system based on local color information. Our system features fully automatic insertion and very efficient query execution, rivaling the efficiency of systems that can only handle global image comparisons. The query execution engine, called the imageGREP Engine, can process queries at a speed of approximately 3000 images per second (or better) on a standard workstation when the index can be stored in main memory. In the future, we believe our framework should be used in other domains and applications, to handle queries based on texture or other material properties and perhaps domain specific image properties.

关键词： content-based image databases image retrieval local image matching visual pattern matching image classifiers

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Automation of systems enabling search on stored video data 5

Automation of systems enabling search on stored video data

引用

Conference on storage and retrieval for image and video databases v

作者： Hanjalic, A Ceccarelli, M Lagendijk, RL Biemond, J Delft Univ. of Technology (Netherlands) Philips Research Labs. (Netherlands)

ISBN: (纸本)0819424331

In the European project SMASH [http://***/pda/smash] mass-market storage systems for domestic use are under study. Besides the storage technology that is developed in this project, the related objective of user-friendly browsing/query of video data is studied as well. Key issues in developing a user-friendly system are (1) minimizing the user-intervention in preparatory steps (extraction and storage of representative information needed for browsing/query), (2) providing an acceptable representation of the stored video content in view of a higher automation level, (3) the possibility for performing these steps directly on the incoming stream at storage time, and (4) parameter-robustness of algorithms used for these steps. This paper proposes and validates novel approaches for automation of mentioned preparatory phases. A detection method for abrupt shot changes is proposed, using locally computed threshold based on a statistical model for frame-to-frame differences. For the extraction of representative frames (key frames) an approach is presented which distributes a given number of key frames over the sequence depending on content changes in a temporal segment of the sequence. A multimedia database is introduced, able to automatically store all bibliographic information about a recorded video as well as a visual representation of the content without any manual intervention from the user.

关键词： shot change detection key frame extraction video databases consumer digital services

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Color-WISE: A system for image similarity retrieval using color

Color-WISE: A system for image similarity retrieval using co...

引用

storage and retrieval for image and video databases vI Conference

作者： Sethi, IK Coman, I Day, B Jiang, F Li, D Segovia-Juarez, J Wei, G You, B Wayne State Univ Dept Comp Sci Vis & Neural Networks Lab Detroit MI 48202 USA

ISBN: (纸本)0819427527

Color is one of the most widely used features for image similarity retrieval. Most of the existing image similarity retrieval schemes employ either global or local color histogramming. In this paper, we explore the use of localized dominant hue and saturation values for color-based image similarity retrieval. This scheme results in a relatively compact representation of color images for similarity retrieval. Experimental results comparing the proposed representation with global and local color histogramming are presented to show the efficacy of the suggested scheme.

关键词： color-based image retrieval color histogramming image databases visual information

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