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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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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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Refining image retrieval based on context-driven methods

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 581-592页

作者： Hong, Dezhong Wu, Jian-Kang Singh, Sumeet Sohan RWCP Information-Base Functions KRDL Lab Singapore

A prototype of the content-based image retrieval system is implemented based on the algorithms introduced in this paper. The image contents at the high levels are extracted. The fuzzy C-means classifier is employed to compute the object clusters and provide useful information for overlapped clusters. The automatic image segmentation and categorisation is achieved. To obtain the context for image retrieval, the subjective context and the objective context are modelled by means of the fuzzy sets theory. The system is able to trace the users' interactions during retrieval. The refinements of the retrieval results can be made while the users are submitting the queries telling the specific requirements.

关键词： Feature extraction

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Morphological approach to scene change detection and digital video storage and retrieval

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 733-743页

作者： Kim, Woonkyung M. Song, S.Moon-Ho Kim, Hyeokman Song, Cheeyang Kwon, Byung Woong Kim, Sun Geun Korea Univ Seoul Korea Republic of

With the abstraction of digital video as the corresponding binary video- a process which upon numerous subjective experimentation seems to preserve (most of the) intelligibility of video content- we can pursue a precise and analytic approach to (digital video storage and retrieval) algorithm design that are based upon geometrical (morphological) intuition. The foremost and tangible general benefit of such abstraction, however, is the immediate reductions of both data and computational complexities involved in implementing various algorithms and databases. The general paradigm presented may be utilized to address all issues pertaining to video library construction including visualization, optimum feedback query generation, object recognition, e.t.c., but the primary focus of attention in this paper are the ones pertaining to detection of fast (including presence of flashlights) and gradual scene changes (such as dissolves, fades, and various special effects such as wipes). Upon simulation we observed that we can achieve performances comparable to those of others with drastic reductions in both storage and computational complexities. Furthermore, since the conversion from grayscale to binary videos can be performed directly (with minimal additional computation) in the compressed domain by thresholding on the DCT DC coefficients themselves (or by using the contour information attached to MPEG4 formats), the algorithms presented herein are ideally suited for performing fast (on-the-fly) determinations of scene change, object recognition and/or tracking, and other more intelligent tasks traditionally requiring heavy demand on computational and/or storage complexities. The fast determinations may then be used on their own merits or can be used in conjunction or complementation with other higher-layer information in the future.

关键词： video signal 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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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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Content-based video retrieval by example video clip 5

Content-based video retrieval by example video clip

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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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Model-based classification of visual information for content-based retrieval

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 402-414页

作者： Jaimes, Alejandro Chang, Shih-Fu Columbia Univ New York United States

A different approach to content-based retrieval and a novel framework for classification of visual information are proposed. The Visual Apprentice which is an implementation of the framework for still images and video that uses a combination of lazy-learning, decision trees, and evolution programs for classification and grouping is introduced. Examples and results are given to demonstrate the applicability of the proposed approach to perform visual classification and detection.

关键词： Feature extraction

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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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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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