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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11-20 订阅

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Extraction of composite visual objects from audiovisual materials

Extraction of composite visual objects from audiovisual mate...

引用

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

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

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Jaimes, Alejandro Chang, Shih-Fu Columbia Univ New York NY 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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Multimedia information retrieval by analysing content and learning from examples

Multimedia information retrieval by analysing content and le...

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Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Ganapathy, S.Kicha Lei, Zhibin Safranek, Robert J. Bell Lab Murray Hill NJ United States

Multimedia Information Systems are experiencing a tremendous growth as a direct consequence of the popularity and pervasive use of world wide web. As a consequence, it is becoming increasingly important to provide efficient and flexible solutions for accessing and retrieving multimedia data. images and video are emerging as significant data types in multimedia systems. And yet, most commercial systems are still text and key-word based and do not fully exploit the image content of these systems. We believe that there is an opportunity to build a novel interactive multimedia system for some specific applications in electronic commerce. In this paper we present an overview of our approach, the rationale behind it and the problems that are inherent in building such a system. We address some of the technical issues in representing and analysing image primitive features. These are the building blocks of any such systems. They can be generalized into a much broader range of applications as well.

关键词： Multimedia systems

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Comparative study of strategies for illumination-invariant texture representations

Comparative study of strategies for illumination-invariant t...

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Levienaise-Obadia, B. Kittler, J. Christmas, W. Univ of Surrey Guildford United Kingdom

Illumination invariance is of paramount importance to annotate video sequences stored in large videodatabases consistently. Yet, popular texture analysis methods such as multichannel filtering techniques do not yield illumination-invariant texture representations. In this paper, we assess the effectiveness of three illumination normalisation schemes for texture representations derived from Gabor filter outputs. The schemes aim at overcoming intensity scaling effects due to changes in ilumination conditions. A theoretical analysis and experimental results enable us to select one scheme as the most promising one. In this scheme, a normalising factor is derived at each pixel by combining the energy responses of different filters at that pixel. The scheme overcomes illumination variations well, while still preserving discriminatory textural information. Further statistical analysis may shed light on other interesting properties or limitations of the scheme.

关键词： image analysis

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Querying multiple perspective video

Querying multiple perspective video

引用

7th storage and retrieval for image and video databases conference

作者： Santini, S Gupta, A Jain, R Univ Calif San Diego Visual Comp Lab San Diego CA 92103 USA

ISBN: (纸本)0819431273

This paper introduces a model of spatio-temporal database that we are developing to query interesting events in video sequences. The database that we are designing is pushing the state of the art for a number of fields, and there are many issues that are still waiting a satisfactory solution. In this paper we present our (albeit still partial) answer to some of these problems, and the future directions of our work. Our design is divided in two layers: a Logbook which operates as a short time repository of unsummarized and unprocessed data, and a long term spatio-temporal database which stores and queries sumamrized data.

关键词： databases Data modeling Sensors video Data storage video surveillance 3D modeling Data processing Cameras Environmental sensing

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videoBase - a prototype of video database managing system

VideoBase - a prototype of video database managing system

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7th storage and retrieval for image and video databases conference

作者： Bai, XS Xu, GY Shi, YC Tsinghua Univ Natl Key Lab Intelligent Technol & Syst Dept Comp Sci & Technol Beijing 110084 Peoples R China

ISBN: (纸本)0819431273

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 CbEEpr - a power 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： mediabase flexible query mechanism similarity indexing general mediabase architecture shot frequency

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Choosing efficient feature sets for video classification

Choosing efficient feature sets for video classification

引用

7th storage and retrieval for image and video databases conference

作者： Fischer, S Steinmetz, R Tech Univ Darmstadt Dept Elect Engn & Informat Technol Ind Proc & Syst Commun D-64283 Darmstadt Germany

ISBN: (纸本)0819431273

In this paper we address the problem of choosing appropriate features to describe the content of still pictures or video sequences including audio. As the computational analysis of these features is often time-consuming it is useful to identify a minimal set allowing for an automatic classification of some class or genre. Further it can be shown that deleting the coherence of the features characterizing some class is not suitable to guarantee an optimal classification result. The central question of the paper is thus which features should be selected and how they should be weighted to optimize a classification problem.

关键词： content processing automatic video classification video analysis audio analysis

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Comparison of automatic shot boundary detection algorithms

Comparison of automatic shot boundary detection algorithms

引用

7th storage and retrieval for image and video databases conference

作者： Lienhart, R Intel Corp Microcomp Res Labs Santa Clara CA 95052 USA

ISBN: (纸本)0819431273

Various methods of automatic shot boundary detection have been proposed and claimed to perform reliably. Although the detection of edits is fundamental to any kind of video analysis since it segments a video into its basic components, the shots, only few comparative investigations on early shot boundary detection algorithms have been published. These investigations mainly concentrate on measuring the Edit detection performance, however;do not consider the algorithms' ability to classify the types and to locate the boundaries of the edits correctly. This gaper extends these comparative investigations More recent algorithms designed explicitly to detect specific complex editing operations such as fades and dissolves are taken into account and their ability to classify the types and locate the boundaries of such edits are examined. The algorithms' performance is measured in terms of hit rate, number of false hits, and miss rate for hard cuts, fades, and dissolves over a large and diverse set of video sequences. The experiments show, that while hard cuts and fades can be detected reliably, dissolves are still an open research issue The fate hit rate for dissolves is usually unacceptably high, ranging from 50% up to over 400%. Moreover;all algorithms seem to fail under roughly the same conditions.

关键词： video content analysis shot boundary detection hard cut detection fade detection dissolve detection

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Indexing and retrieval of multimedia objects at different levels of granularity

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

引用

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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Interactive classification and indexing of still and motion pictures in videoRoadMap

Interactive classification and indexing of still and motion ...

引用

conference on Multimedia storage and Archiving Systems III

作者： Park, YC Golshani, F Panchanathan, S Candan, KS Arizona State Univ Dept Comp Sci & Engn Tempe AZ 85287 USA

ISBN: (纸本)0819429880

The large scale proliferation of multimedia data necessitates the use of sophisticated techniques for accessing the information based on the content. videoRoadMap is a new content-based video indexing system for retrieving video clips and images from multimedia databases. The system indexes the audio-visual information using spatio-temporal features and information modeling methods. The proposed system employs adaptive similarity measurements based on the contents of media objects, resulting in more accurate retrievals. Principal component analysis and second order statistical analysis are employed to determine the appropriate combination of weight values in similarity search. In addition, videoRoadMap includes a powerful multi-faceted querying mechanism which allows queries to be formulated and presented in a variety of modes, including query by example (image and/or video), query by sketch, and query by object motion trajectory.

关键词： content-based multimedia object retrieval subjectivity modeling audio-visual information analysis

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