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conference on storage and retrieval for image and video databases V

作者： Li, YB Tao, B Kei, S Wolf, W Princeton Univ. (United States)

ISBN: (纸本)0819424331

video databases can be searched for visual content by searching over automatically extracted key frames rather than the complete video sequence. Many video materials used in the humanities and social sciences contain a preponderance of shots of people. In this paper, we describe our work in semantic image retrieval of person-rich scenes (key frames) for video databases and libraries. We use an approach called retrieval through segmentation. A key-frame image is first segmented into human subjects and background. We developed a specialized segmentation technique that utilizes both human flesh-tone detection and contour analysis. Experimental results show that this technique can effectively segment images in a low time complexity. Once the image has been segmented, we can then extract features or pose queries about both the people and the background. We propose a retrieval framework that is based on the segmentation results and the extracted features of people and background.

关键词： image retrieval key frame segmentation flesh tone detection contour extraction

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INDEXES FOR USER ACCESS TO LARGE video databases 2

INDEXES FOR USER ACCESS TO LARGE VIDEO DATABASES

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conference on storage and retrieval for image and video databases II

作者： ROWE, LA BORECZKY, JS EADS, CA UNIV CALIF BERKELEY DIV COMP SCIBERKELEYCA 94720

ISBN: (纸本)0819414808

video-on-Demand systems have received a good deal of attention recently. Few studies, however, have addressed the problem of locating a video of interest in a large video database. This paper describes the design and implementation of a metadata database and query interface that attempts to solve this information retrieval problem.

关键词： video databases Interfaces Cameras Human-machine interfaces Visualization Distributed computing image segmentation Computing systems Computer science

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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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Virage video engine 5

Virage video engine

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conference on storage and retrieval for image and video databases V

作者： Hampapur, A Gupta, A Horowitz, B Shu, CF Fuller, C Bach, J Gorkani, M Jain, R Virage Inc. (United States)

ISBN: (纸本)0819424331

The temporal and multi-modal nature of video increases the dimensionality of content based retrieval problem. This places new demands on the indexing and retrieval tools required. The Virage video Engine (VVE) with the default set of primitives provide the necessary frame work and basic tools for video content based retrieval. The video engine is a flexible platform independent architecture which provides support for processing multiple synchronized data streams like image sequences, audio and closed captions. The architecture allows for multi-modal indexing and retrieval of video through the use of media specific primitives. This paper presents the use of the VVE framework for content based video retrieval.

关键词： video indexing video retrieval video database content based retrieval image database multimedia database video asset management visual information retrieval

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videoBase - a prototype of video database managing system

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 722-732页

作者： Bai, Xuesheng Xu, Guangyou Shi, Yuanchun Tsinghua Univ Beijing China

Content based retrieval on large multimedia database attracts the interests of many researchers, but the database architecture needed for content based retrieval is still an open problem. Traditional relation database system does not support the high-dimension feature form content description and indexing, thus is limited in its content based retrieval function. Some systems do support high-dimension feature form content description and indexing, but lacks descriptions and query expressions on media object content and relations. In this paper, we present our study results on query mechanism and proposed CbExpr - a powerful flexible query expression mechanism on media object. Based on CbExpr we proposed GMA (general mediabase architecture) - a general architecture for management and content based retrieval on large media databases, and videoBase - a content based video retrieval system is present as example of GMA. Basic thoughts, considerations, and definitions are presented in the paper, also with some implementation details.

关键词： Query languages

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EMBEDDING image QUERY OPERATIONS IN AN OBJECT-RELATIONAL DATABASE MANAGEMENT SYSTEM

EMBEDDING IMAGE QUERY OPERATIONS IN AN OBJECT-RELATIONAL DAT...

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conference on storage and retrieval for image and video databases iii

作者： UBELL, M OLSON, M ILLUSTRA INFORMAT TECHNOL INC OAKLANDCA 94607

ISBN: (纸本)081941767X

Modern computer applications use enormous volumes of rich data like video, still images, and text, as well as more conventional numeric and character data. Managing huge volumes of such diverse data requires a database. Content queries, such as 'find me the color images with red components higher than this threshold,' require that the database system be able to apply the qualification directly. Relational database systems that store images as untyped binary large objects (BLOBS) cannot apply qualifications like this, because the database system does not understand the contents of the BLOB. Object-Relational Database Management Systems (ORDBMS), on the other hand, allow users to extend the set of types and functions known to the database system. Programmers can write code that is dynamically loaded into the database server, and that operates on complex data types such as images. Those functions can be used in standard SQL queries, and the database manager can use new types and function results in indices to support fast queries on complex data. In addition, the query optimizer can be told how expensive the new functions are, so that it chooses an optimal strategy for satisfying complicated queries with many different predicates in their qualifications.

关键词： OBJECT RELATIONAL DATABASE image QUERY image storage

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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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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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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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