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检索条件"任意字段=Conference on Storage and Retrieval for Image and Video Databases III"

共 343 条记录，以下是241-250 订阅

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Indexing, retrieval and browsing of wavelet compressed imagery data 5

Indexing, retrieval and browsing of wavelet compressed image...

引用

conference on storage and retrieval for image and video databases V

作者： Liang, KC Wan, X Kuo, CCJ Univ. of Southern California (United States)

ISBN: (纸本)0819424331

The wavelet packet transform and the successive approximation quantization techniques, which have been adopted in modern wavelet coding, are exploited for content-based image retrieval in this research. By adopting this approach, images can be compressed and indexed simultaneously, and the complexity of database management can be significantly reduced. The proposed new feature for image indexing is the number of significant wavelet coefficients in each wavelet packet subband. This feature does not only serve as a good representation of image content but also allows a hierarchical retrieval and browsing of images and facilitates the progressive transmission of retrieved images. Extensive experimental results are provided to demonstrate the retrieval efficiency of the proposed new method.

关键词： wavelets wavelet packets compression features image retrieval image indexing

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video server technology for high-performance retrieval in video-on-demand 5

Video server technology for high-performance retrieval in vi...

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conference on storage and retrieval for image and video databases V

作者： Sugiyama, H Takahata, M Nishimura, K NTT Human Interface Labs. (Japan)

ISBN: (纸本)0819424331

A powerful new set of video playback control functions is proposed which aids subscribers in finding specific programs or contents from among a vast store of video materials. For conducting title-based searches, repeat and clip capabilities are proposed as ways of previewing or browsing a program's contents. For retrieving information from within a program, skip and fast forward/rewind functions are effective when searching through video materials that are familiar, while midway playback is an effective approach when searching through material that had never been seen before. Most significantly, this set of video playback controls permits visual searches without reducing the number of concurrent users that can be supported while preserving a video access response time of under 1 second. The proposed methods are implemented in an experimental system and evaluated.

关键词： video search indexing video on demand video server

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Contextual bitplane coding for DWT image compression 5

Contextual bitplane coding for DWT image compression

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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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On video retrieval:: Content analysis by imageMiner™

On video retrieval:: Content analysis by ImageMiner™

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storage and retrieval for image and video databases VI conference

作者： Alshuth, P Hermes, T Voigt, L Herzog, O Univ Bremen Ctr Comp Technol Image Proc Dept D-28334 Bremen Germany

ISBN: (纸本)0819427527

In this paper videos are analyzed to get a content-based decription of the video. The structure of a given video is useful to index long videos efficiently and automatically. A comparison between shots gives an overview about cut frequency, cut pattern, and scene bounds. After a shot detection the shots are grouped into clusters based on their visual similarity. A time-constraint clustering procedure is used to compare only those shots that are positioned inside a time range. Shots from different areas of the video (e.g., begin/end) are not compared. With this cluster information that contains a list about shots and their clusters it is possible to calculate scene bounds. A labeling of all clusters gives a declaration about the cut pattern. It is easy now to distinguish a dialogue from an action scene. The final content analysis is done by the imageMiner* system. The imageMiner system developed at the University of Bremen of the image Processing Department of the Center for Computing Technology realizes content-based image retrieval for still images through a novel combination of methods and techniques of computer vision and artifical intelligence. The imageMiner system consists of three analysis modules for computer vision, namely for color, texture, and contour analysis. Additionally exists a module for object recognition. The output of the object recognition module can be indexed by a text retrieval system. Thus, concepts like forestscene may;be searched for. We combine the still image analysis with the results of the video analysis in order to retrieve shots or scenes.

关键词： content-based image retrieval image analysis video analysis image mosaicing graph grammar

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video segmentation using combined cues

Video segmentation using combined cues

引用

storage and retrieval for image and video databases VI conference

作者： Toller, MS Lewis, PH Nixon, MS Univ Southampton Dept Elect & Comp Sci Multimedia Res Grp Southampton SO17 1BJ Hants England

ISBN: (纸本)0819427527

The use of video data in the multimedia environment is increasing rapidly, and so tools to handle large volumes of video data are required. One of the first steps towards creating more versatile video tools is to segment the video data, i.e. partition it into its component shots. This paper presents a novel combination of algorithms for video segmentation, utilising histogram comparison, motion vector information (focus of expansion), and edge information to detect transitions between shots. Our method can reliably detect transitions such as camera breaks, fades, dissolves and wipes, in video compressed to the MPEG-I standard.

关键词： video segmentation key frame extraction

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Efficient image retrieval with multiple distance measures 5

Efficient image retrieval with multiple distance measures

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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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video hypermedia authoring using automatic object tracking

Video hypermedia authoring using automatic object tracking

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storage and retrieval for image and video databases VI conference

作者： Kanda, J Wakimoto, K Abe, H Tanaka, S Mitsubishi Elect Corp Informat Technol R&D Ctr Kanagawa 247 Japan

ISBN: (纸本)0819427527

video hypermedia systems enable users to retrieve information related to an object by selecting it directly in a video sequence. In video hypermedia systems, users must locate an anchor position according to the motion of the object. But it is very laborious to locate an anchor to its suitable position according to the motion of the object. We have proposed a new automatic object tracking method and implemented it to the system. A feature of this method is that it includes various automatic error correction algorithms. We evaluated this system on effectiveness on reducing human operations. As a result, the number of operations reduced to 30.3% of the former method, and the time of operations reduced to 60.1% of the former method.

关键词： hypermedia pattern recognition object tracking video database

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video classification using speaker identification 5

Video classification using speaker identification

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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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imageGREP: Fast visual pattern matching in image databases 5

ImageGREP: Fast visual pattern matching in image databases

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

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

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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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