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

共 61 条记录，以下是31-40 订阅

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I/Browse: the Bellcore video library toolkit

I/Browse: the Bellcore video library toolkit

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storage and retrieval for still image and video databases iv

作者： England, Paul Allen, Robert B. Sullivan, Mark Heybey, Andrew Bianchi, Mike Dailianas, Apostolos Bell Communications Research Morristown NJ USA

ISBN: (纸本)0819420441

I/Browse: The Bellcore video Library Toolkit is a set of tools for constructing and browsing libraries of digital video. The toolkit is designed to work with video libraries on local or network disks, CD-ROMs or a multimedia sever. There are three main components, a preprocessor, a tagger, and a browser. Particular attention is focused on the tools and techniques we have developed to rapidly tag videos. The tagging system allows text fields, type information, and other resources to be associated with frames in the video. The tags are further organized into a hierarchical 'table of contents', which is suitable for browsing and searching.

关键词： Information retrieval systems

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Extraction of composite visual objects from audiovisual materials

Extraction of composite visual objects from audiovisual mate...

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conference on Multimedia storage and Archiving Systems iv

作者： Durand, G Thienot, C Faudemay, P Univ Paris 06 Lab Informat Paris 6 F-75252 Paris 05 France

ISBN: (纸本)0819434396

An effective analysis of Visual Objects appearing in still images and video flames is required in order to offer fine grain access to multimedia and audiovisual contents. In previous papers, we showed how our method for segmenting still images into visual objects could improve content-based image retrieval and video analysis methods. Visual Objects are used in particular for extracting semantic knowledge about the contents. However, low-level segmentation methods for still images are not likely to extract a complex object as a whole but instead as a set of several sub-objects. For example, a person would be segmented into three visual objects: a face, hair, and a body. In this paper, we introduce the concept of Composite Visual Object. Such an object is hierarchically composed of sub-objects called Component Objects. Production rules implementing some common sense knowledge are used to extract and label composite visual objects based on the output of our still image segmentation method, and to label the component objects with their semantic values. Composite visual objects of the database (e.g.: "persons") can then be searched for, possibly with some constraints on some of their components (e.g.: "only with a blue suit!").

关键词： composite visual objects visual object extraction image segmentation multimedia content analysis MPEG-4 MPEG-7

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Content-based indexing of earth-observing satellite image database with fuzzy attributes

Content-based indexing of earth-observing satellite image da...

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storage and retrieval for still image and video databases iv

作者： Li, Chung-Sheng Turek, John IBM Thomas J. Watson Research Cent. Yorktown Heights NY USA

ISBN: (纸本)0819420441

The retrieval of images through the use of content-based search techniques often requires inferencing and reasoning. As a result the processing of content-based queries in large databases is frequently reduced to membership and range queries on data having vague or uncertain attributes. We refer to these as fuzzy attributes. In this paper, a hierarchical indexing technique for membership and range queries in databases containing data having fuzzy attributes is proposed. This approach is suitable for both unimodal and multimodal fuzzy membership functions. In the proposed approach, an index using a multi-attribute indexing scheme such as a hierarchical hash table is generated based on the discrete representation of each fuzzy attribute. Indexing is then performed by traversing the data structure looking for the activation values provided by the query.

关键词： Indexing (of information)

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A comprehensive progressive decoding for JPEG compressed image

A comprehensive progressive decoding for JPEG compressed ima...

引用

conference on storage and retrieval for Media databases 2003

作者： Feng, GC Baharudin, B Jiang, JM Univ Bradford Sch Informat EIMC Bradford BD7 1DP W Yorkshire England

ISBN: (纸本)0819448214

The explosive growth of images and videos on the World Wide Web (WWW) is making the Web into a huge resource of visual information. Among various types of multimedia information, still images or dynamic images (video clips) in compressed format are the most widely accepted on the WWW. Therefore, it becomes an essential issue to achieve the maximum efficiency in transmitting and decoding those compressed images on the Internet. Progressive coding provides a mode that allows a coarse version of an image being transmitted at a lower bit rate and then gradually refined by subsequent transmissions. Compared with conventional coding, it is more suitable for interactive applications such as those involving JPEG images on the Internet. In this paper, we first give an approximation of cosine function used in IDCT for the various orders. Based on the approximation and a series analysis, we then develop a progressive decoding scheme which comprehends the successive approximation and the spectral selection. The analysis and experiments establish the fact that our proposed method saves computational cost significantly in comparison with the existing spectral selection based progressive decoding proposed by JPEG. Extensive experiments are carried out to evaluate the proposed algorithm, which reveals that, the reconstructed images, even at the lowest bit rate and with lower order approximation, can still achieve encouraging PSNR values.

关键词： progressive coding JPEG compressed image successive approximation and spectral selection

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Tools for compressed-domain video indexing and editing

Tools for compressed-domain video indexing and editing

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storage and retrieval for still image and video databases iv

作者： Meng, Jianhao Chang, Shih-Fu Columbia Univ. New York NY USA

ISBN: (纸本)0819420441

Indexing and editing digital video directly in the compressed domain offer many advantages in terms of storage efficiency and processing speed. We have designed automatic tools in the compressed domain for extracting key visual features such as scene cut, dissolve, camera operations (zoom, pan), and moving object detection and tracking. In addition, we have developed algorithms to solve the decoder buffer control problems and allow users to 'cut, copy and paste' arbitrary compressed video segments directly in the compressed domain. The compressed-domain approach does not require full decoding. Thus fast software implementations can be achieved. Our compressed video editing techniques enhance the reusability of existing compressed videos.

关键词： Database systems

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Indexing and retrieval of multimedia objects at different levels of granularity

Indexing and retrieval of multimedia objects at different le...

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conference on Multimedia storage and Archiving Systems III

作者： Faudemay, P Durand, G Seyrat, C Tondre, N Univ Paris 06 LIP6 F-75255 Paris 05 France

ISBN: (纸本)0819429880

Intelligent access to multimedia databases for "naive user" should probably be based on queries formulation by "intelligent agents". These agents should "understand" the semantics of the contents, learn user preferences and deliver to the user a subset of the source contents, while keeping the freedom of choice of the user. Such systems should interpret multimedia contents in terms of multiple audiovisual objects (from video to visual or audio object), and on actions and scenarios. In our project we have developed a method for image segmentation into semantic objects, even in the case of still images. We use this method, and user-defined collections of such objects, and to characterize stories contents. For this purpose, we also use audio information from selected parts of the video. Stories are characterized by a set of visual concepts and words, and semantic similarity between stories is evaluated based on information retrieval methods. The system learns user preferences, and incrementally builds a user profile, which is used to present relevant stories in appropriate order. This approach was used to build a mockup of a simple "plus" engine, which is presently being experimented.

关键词： multimedia indexing video analysis spatial segmentation temporal segmentation example-based retrieval

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Virage image search engine: an open framework for image management

Virage image search engine: an open framework for image mana...

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storage and retrieval for still image and video databases iv

作者： Bach, Jeffrey R. Fuller, Charles Gupta, Amarnath Hampapur, Arun Horowitz, Bradley Humphrey, Rich Jain, Ramesh Shu, Chiao-Fe Virage Inc. San Diego CA USA

ISBN: (纸本)0819420441

Until recently, the management of large image databases has relied exclusively on manually entered alphanumeric annotations. Systems are beginning to emerge in both the research and commercial sectors based on 'content-based' image retrieval, a technique which explicitly manages image assets by directly representing their visual attributes. The Virage image search engine provides an open framework for building such systems. The Virage engine expresses visual features as image 'primitives.' Primitives can be very general (such as color, shape, or texture) or quite domain specific (face recognition, cancer cell detection, etc.). The basic philosophy underlying this architecture is a transformation from the data-rich representation of explicit image pixels to a compact, semantic-rich representation of visually salient characteristics. In practice, the design of such primitives is non-trivial, and is driven by a number of conflicting real-world constraints (e.g. computation time vs. accuracy). The virage engine provides an open framework for developers to 'plug-in' primitives to solve specific image management problems. The architecture has been designed to support both static images and video in a unified paradigm. The infrastructure provided by the Virage engine can be utilized to address high-level problems as well, such as automatic, unsupervised keyword assignment, or image classification.

关键词： Information retrieval systems

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Designing a multiple-disk system for on-demand playback with minimum data buffer

Designing a multiple-disk system for on-demand playback with...

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storage and retrieval for still image and video databases iv

作者： Lee, Meng-Huang Cheng, Chih-Yuan Wang, Fu-Ching Oyang, Yen-Jen Natl. Taiwan Univ. Nankang Taipei Taiwan

ISBN: (纸本)0819420441

This paper studies the impact of different disk array configurations on the size of data buffer required to support video-on-demand. The study is based on a general two-level hierarchical disk array structure that provides both parallelism and concurrency. The study reveals that, for disk arrays with the same total number of disks, a higher degree of parallelism means that the minimum size of data buffer required is larger. This result provides valuable insight about how to organize the disk array in order to minimize system costs.

关键词： Information retrieval systems

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Indexing of compressed video sequences

Indexing of compressed video sequences

引用

storage and retrieval for still image and video databases iv

作者： Idris, Fayez M. Panchanathan, Sethuraman Univ. of Ottawa Ottawa ON Can

ISBN: (纸本)0819420441

In this paper, we propose an algorithm based on vector quantization (VQ) for indexing of video sequences in the compressed form. In VQ, the image to be compressed is decomposed into L-dimensional vectors. Each vector is mapped into one of a finite set of codewords (codebook). Vectors are encoded in the intraframe mode using adaptive VQ. Each frame is represented by a set of labels and a codebook. We note that the codebook reflects the contents of the frame being compressed and similar frames have similar codebooks. The labels are used for cut detection and to generate indices to store and retrieve video sequences. The proposed technique provides fast access to the sequences in the database. In addition, this technique combines video compression and video indexing. Simulation results confirm the substantial gains of the proposed technique in comparison with other techniques reported in the literature.

关键词： Indexing (of information)

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Support for scalable video using parallelism with merging

Support for scalable video using parallelism with merging

引用

storage and retrieval for still image and video databases iv

作者： Watkins, Alfred R. Georgia Inst. of Technology Atlanta GA USA

ISBN: (纸本)0819420441

Parallelism with merging (PWM) techniques for storing and retrieving continuous media combine the use of I/O parallelism and object interleaving to meet the playback requirements of continuous media. The PWM techniques previously proposed do not explicitly address support for scalable video, i.e. the ability to retrieve a video at various bandwidths or data rates. Compression techniques for video such as MPEG and 3D subband coding encode video sequences in such a way as to allow subsets of the full resolution video bit stream to be decoded to recreate lower resolution videos. This facilitates support for various quality of service levels without having to store each level separately. In this paper, we extend the PWM techniques by integrating scalable video support. We show how this integration impacts the continuity requirements, buffering requirements, and admission control criteria. Results of a simulation study are presented which compare the various scalable-PWM strategies.

关键词： Information retrieval systems

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