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conference on storage and retrieval for image and video databases V

作者： Dimitrova, N AbdelMottaleb, M Philips Research (United States)

ISBN: (纸本)0819424331

This paper presents a novel approach for video retrieval from a large archive of MPEG or Motion JPEG(1) compressed video clips. We introduce a retrieval algorithm that takes a video clip as a query and searches the database for clips with similar contents. video clips are characterized by a sequence of representative frame signatures, which are constructed from DC coefficients and motion information (''DC+M'' signatures). The similarity between two video clips is determined by using their respective signatures. This method facilitates retrieval of clips for the purpose of video editing, broadcast news retrieval, or copyright violation detection.

关键词： video representation video signature extraction video retrieval content-based retrieval compressed domain video processing

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conference on storage and retrieval for image and video databases V

作者： DiSciascio, E Celentano, A Politecnico di Bari (Italy) Univ. Ca' Foscari di Venezia (Italy)

ISBN: (纸本)0819424331

The development of increasingly complex multimedia applications calls for new methodologies for the organization and retrieval of still images and video sequences. Query and retrieval methods based on image content promise good results, are currently widely investigated and, to some extent, already commercially available. Yet a large number of issues remain unsolved. In this paper we describe some results of a study on similarity evaluation in image retrieval using color, object orientation and relative position as content features. A simple prototype system is also introduced that computes the feature descriptors and performs queries. Although not trivial, the features extraction process is completely automated and requires no user intervention. The system is admittedly not a general purpose tool, but is oriented to thematic image repositories where the semantics of stored images are limited to a specific domain.

关键词： image databases image feature computation retrieval by image content vector space model Hough transform

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VORTEX: video retrieval and tracking from compressed multimedia databases - Template matching from MPEG2 video compression standard

VORTEX: Video retrieval and tracking from compressed multime...

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conference on Multimedia storage and Archiving Systems iiI

作者： Schonfeld, D Lelescu, D Univ Illinois EECS Dept Signal & Image Res Lab Chicago IL 60607 USA

ISBN: (纸本)0819429880

In this paper, a novel visual search engine for video retrieval and tracking from compressed multimedia databases is proposed. Our approach exploits the structure of video compression standards in order to perform object matching directly on the compressed video data. This is achieved by utilizing motion compensation-a critical prediction filter embedded in video compression standards-to estimate and interpolate the desired method for template matching. Motion analysis is used to implement fast tracking of objects of interest on the compressed video data. Being presented with a query in the form of template images of objects, the system operates on the compressed video in order to find the images or video sequences where those objects are present and their positions in the image. This in turn enables the retrieval and display of the query-relevant sequences.

关键词： video retrieval compressed multimedia databases compressed domain processing motion analysis MPEG

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

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

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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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image retrieval with templates of arbitrary size 5

Image retrieval with templates of arbitrary size

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conference on storage and retrieval for image and video databases V

作者： Tao, B Robbins, K Dickinson, B Princeton Univ. (United States)

ISBN: (纸本)0819424331

We study the problem of retrieving images using a small template. The goal is to allow a user to search for images containing a pattern similar to the template, adding to the capability of a search engine. We propose to employ a segmentation-based approach. As a specific example, we introduce a quadtree segmentation technique for textured images and a distance measure, Sum of Minimum Distance, suitable for template-based image retrieval applications.

关键词： content-based image retrieval template-based image retrieval image segmentation Sum of Minimum Distance

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storage HIERARCHY FOR video-ON-DEMAND SYSTEMS 2

STORAGE HIERARCHY FOR VIDEO-ON-DEMAND SYSTEMS

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conference on storage and retrieval for image and video databases ii

作者： SUZUKI, H NISHIMURA, K UEMORI, A SAKAMOTO, H NIPPON TELEGRAPH & TEL PUBL CORP HUMAN INTERFACE LABSMUSASHINOTOKYO 180JAPAN

ISBN: (纸本)0819414808

In this paper, we evaluate the performance of our trial hierarchical storage server by using simulation. Our system is composed of magnetic disk drives and an optical mass storage system (MSS). This is based on three key techniques: (1) multiple readout control using the time slot synchronous method, (2) quick access control of the MSS by using magnetic disk drives, (3) a storage hierarchy method for video programs that has three configurations. To verify the effectiveness of our storage hierarchy, we construct a queuing network simulation model of the system based on experimentally measured values, and analyze the average waiting time for each of the three configurations of video programs. Selecting the appropriate video program configuration shortens the average waiting time to half of previous times, with a quick access of less than 1 second, and with 8 simultaneous readouts. storage costs are reduced to about half that of magnetic disk drives only.

关键词： video Magnetism Optical discs Compact discs Local area networks Optical storage Telecommunications Control systems Data storage Interfaces

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"Agent like" support for content based retrieval and navigation

"Agent like" support for content based retrieval and navigat...

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storage and retrieval for image and video databases VI conference

作者： Radhakrishnan, P Lewis, PH Univ Southampton Multimedia Res Grp Southampton SO17 1BJ Hants England

ISBN: (纸本)0819427527

In this paper we show how agent-like processes may be used to support content based retrieval and navigation in MAVIS, a Multimedia architecture for video, image and Sound. The processes provide automatic classification of feature vectors from users' selections when a multimedia thesaurus(MMT) is present and feature vector clustering in the absence of an MMT.

关键词： intelligent agents content based retrieval content based navigation neural networks similarity measures thesaurus

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Compact color descriptor for fast image and video segment retrieval

Compact color descriptor for fast image and video segment re...

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conference on storage and retrieval for Media databases 2000

作者： Krishnamachari, S Abdel-Mottaleb, M Philips Res Labs Briarcliff Manor NY 10562 USA

ISBN: (纸本)0819435902

Histograms are the most prevalently used representation for the color content of images and video. An elaborate representation of the histograms requires specifying the color centers of the histogram bins and the count of the number of image pixels with that color. Such an elaborate representation, though expressive, may not be necessary for some tasks in image search, filtering and retrieval. A qualitative representation of the histogram is sufficient for many applications. Such a representation will be compact and greatly simplify the storage and transmission of the image representation. It will also reduce the computational complexity of search and filtering algorithms without adversely affecting the quality. We present such a compact binary descriptor for color representation. This descriptor is the quantized Haar transform coefficients of the color histograms. We show the use of this descriptor for fast retrieval of similar images and search for similar video segments from a large database. We also show the use of this descriptor for browsing large image databases without the need for computationally expensive clustering algorithms. The compact nature of the descriptor and the associated simple similarity measure allows searching over a database of about four hours of video in less than 5-6 seconds without the use of any sophisticated indexing scheme.

关键词： compact descriptor binary histogram image retrieval video segment matching browsing

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Evolving discriminators for querying video sequences 5

Evolving discriminators for querying video sequences

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conference on storage and retrieval for image and video databases V

作者： Iyengar, G Lippman, AB MIT Media Lab. (United States)

ISBN: (纸本)0819424331

In this paper me present a framework for content based query and retrieval of information from large video databases. This framework enables content based retrieval of video sequences by characterizing the sequences using motion, texture and colorimetry cues. This characterization is biologically inspired and results in a compact parameter space where every segment of video is represented by an 8 dimensional vector. Searching and retrieval is done in real-time with accuracy in this parameter space. Using this characterization, we then evolve a set of discriminators using Genetic Programming. Experiments indicate that these discriminators are capable of analyzing and characterizing video. The videoBook is able to search and retrieve video sequences with 92% accuracy in real-time. Experiments thus demonstrate that the characterization is capable of extracting higher level structure from raw pixel values.

关键词： video Genetics databases Computer programming Feature extraction Motion measurement Sensors Visual system Colorimetry Pattern recognition

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

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 687-698页

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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