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IEEE Southeastcon

作者： A. Das S.S. Devgan Department of Electrical and Computer Engineering Tennessee State University

Next generation database systems will need to support both textual data and other types of multimedia data. These two types of data differ in their organization and management. Multimedia data comprises static media like text and images, that do not vary with time, and dynamic or continuous media like audio and video, that varies with time and requires a guaranteed transfer rate. Conventional database systems are designed for managing textual and numerical data, and retrieving such data is often based on simple comparisons of text/numerical values. However, this simple method of retrieval is longer adequate for the multimedia data, since the digitized representation of images, video, or data itself does not convey the reality of these media items. Multimedia data has certain characteristics that complicate their storage in conventional databases or file systems. First, multimedia data tends to be voluminous. Second, continuous media data, such as video and audio have timing characteristics associated with them. The proposed method is to store multimedia objects in a relational database, which offers several advantages over file system storage, like secure back up, concurrent login, and faster retrieval. The paper shows how database systems can be architected to support multimedia data, making use of a relational database system such as MySQL and the application of real time video streaming in delivering such data. Based on the user query, the retrieved audio/video data is streamed over the Web using Real System G2 which provides high quality audio and video at all bit rates and even under lossy network conditions.

关键词： Streaming media Multimedia databases Multimedia systems Information retrieval Database systems Relational databases File systems image retrieval image databases Timing

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Synthetic summaries of video sequences using a multiresolution based key frame selection technique in a perceptually uniform color space

Synthetic summaries of video sequences using a multiresoluti...

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IEEE International Conference on image Processing

作者： P. Campisi A. Neri Dipartimento Ingegneria Elettronica Università degli Studi di Roma Roma Tre Rome Italy

video databases are very demanding systems as far as mass storage requirements and computational resources necessary to perform common database operations, such as browsing and retrieval, are required. These operations can be simplified both in terms of the computational complexity and of processing time by performing them on an ensemble of frames, called key frames, representative of the content units (shots) in which a video can be segmented. An adaptive key frames extraction method based on a wavelet based multiresolution analysis in a perceptually uniform color space is presented. Experimental results that show the effectiveness of the proposed technique to select key frames summarizing the video's content, are finally provided.

关键词： video sequences Data mining Color Sampling methods Information retrieval Multiresolution analysis Multimedia databases Wavelet analysis Software libraries Computational complexity

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image retrieval and segmentation based on color invariants

Image retrieval and segmentation based on color invariants

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： J.-M. Geusebroek D. Koelma A.W.M. Smeulders T. Gevers Intelligent Sensory Information Systems Faculty of Science University of Amsterdam Amsterdam Netherlands Universiteit van Amsterdam Amsterdam Noord-Holland NL

We will demonstrate our CVPR2000 paper "Measurement of Color Invariants" for the cases of image retrieval based on query by example and for color image segmentation. Both are of importance in content based access of image and video data. We demonstrate the usefulness of the proposed color invariants in image retrieval by example systems. We show that an image retrieval query should include the type of invariance expected in the result. We demonstrate such queries by using the "imageSurf" retrieval system. Segmentation of images based on the proposed color invariants is demonstrated by the "PicToVision" system. The system provides image processing functionality through the world wide web, and is publicly accessible at ***. ***/research/***.

关键词： image retrieval image segmentation image processing Shape Java Color Web sites image storage image databases Spatial databases

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Augmented Album: situation-dependent system for a personal digital video/image collection

Augmented Album: situation-dependent system for a personal d...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： K.P. Hewagamage M. Hirakawa Information Systems Laboratory Hiroshima University Japan

Augmented Album is an application developed to demonstrate how user situations can be used to provide an easy-to-use and easy-to-remember interface for the management and retrieval of digital pictures that consist of both digital video clips and still images. In this system, contextual information such as the location, time, and user events, are captured when a picture is taken. It represents the meaning of the picture as well as its content information to some extent, and thus benefits us to retrieve image/video clips. At the same time, the contextual information could be used to achieve a more realistic organization of those pictures on a computer system.

关键词： Information retrieval image retrieval Content based retrieval Computer displays Computer interfaces image storage Prototypes Multimedia databases Management information systems Engineering management

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storage and retrieval for image and video databases V

Storage and Retrieval for Image and Video Databases V

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storage and retrieval for image and video databases V 1997

The proceedings contain 49 papers. The topics discussed include: efficient image retrieval with multiple distance measures;video content characterization and compaction for digital library applications;content-based video retrieval by example video clip;video server technology for high-performance retrieval in video on demand;evolving discriminators for querying video sequences;distributed data collection for a database of radiological image interpretations;design and implementation of an experimental video database system for supporting video retrieval from different perspectives;semantic image retrieval through human subject segmentation and characterization;and recognition and visual feature matching of text region in video for conceptual indexing.

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Low-complexity global motion estimation from P-frame motion vectors for MPEG-7 applications

Low-complexity global motion estimation from P-frame motion ...

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IEEE International Conference on image Processing

作者： A. Smolic M. Hoeynck J.-R. Ohm Image Processing Department Heinrich-Hertz-Institut Berlin Germany

We present an algorithm for low-complexity global motion estimation, that works with block-coded video (e.g. MPEG-2). A superimposed global motion model is fitted to decoded P-frame motion vector fields, providing real-time performance. Therefore a robust M-estimator is applied since a lot of outliers have to be expected in the motion vector fields. The algorithm is compared to a state-of-the-art global motion estimator. The main characteristics of the global motion are captured accurately in most cases, although estimation may fail. We also report the integration of the estimator into a complete MPEG-7 system for search-and-retrieval of video based on motion characteristics.

关键词： Motion estimation MPEG 7 Standard image processing IEC standards ISO standards Cameras databases Data mining Material storage Decoding

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Generating images with interactive manipulation and its model capture

Generating images with interactive manipulation and its mode...

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International Conference on Pattern Recognition

作者： T. Masaki T. Yamauchi Y. Kitamura F. Kishino Department of Electronic and Information Systems Engineering Graduate School of Engineering Osaka University Suita Osaka Japan

ISBN: (纸本)0769507506

Methods of interactive image generation using processed video contents, and its 3D model capture are proposed; we mainly stress the key technique of the system and the implementation of moving 3D object extraction. In order to reflect a user's intention for generating new multimedia contents, we discuss the methods of storage, retrieval, and presentation. This system is an example of the novel creation of multimedia contents by using the technologies of computer vision and virtual reality. The user is able to generate novel multimedia contents without shape modeling by a human. The proposed low-cost extraction and interaction algorithm can track objects at 8 frames/sec with sufficient accuracy.

关键词： image generation Shape Power system modeling Content based retrieval Multimedia systems Virtual reality Computer vision Multimedia databases Information retrieval Data mining

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video Content Analysis: From Visual Features to video Semantics

Video Content Analysis: From Visual Features to Video Semant...

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ICIG’2000 First International Conference on image and Graphics--image and Graphic Technology Toward 21st Century and Beyond

作者： Alan Hanjalic Reginald L. Lagendijk Jan Biemond Delft University of Technology Faculty of Information Technology and Systems Department of Mediamatics Information and Communication Theory Group P.O.Box 5031 2600 GA Delft The Netherlands Delft University of Technology Faculty of Information Technology and Systems Department of Mediamatics Information and Communication Theory Group P.O.Box 5031 2600 GA Delft The Netherlands Delft University of Technology Faculty of Information Technology and Systems Department of Mediamatics Information and Communication Theory Group P.O.Box 5031 2600 GA Delft The Netherlands

This paper addresses the problem of recognizing the elements of video semantics by investigating the presence and temporal behavior of low-level features in video sequences. Examples of these features are color, texture, shape, frequency components, audio and speech characteristics. The extracted elements of video semantics can then be used to organize the content of a video database in such a way that the overall large search space and consequently the total interaction (browsing, query) time between the user and the database is as much reduced as possible. We concentrate in this paper on the elements of video semantics that can be extracted by working only with visual low-level features of a video. For this purpose we outline and discuss the methodologies for analyzing the content of a movie and broadcast news programs, that were developed in the course of the EU-ACTS research project SMASH (storage for Multimedia Application Systems in the Home).

关键词： video databases, video retrieval, video query, video browsing

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基于内容检索的视频处理技术

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中国图象图形学报（A辑） 2000年第4期5卷 276-283页

作者：金红周源华上海交通大学图象通信与信息处理研究所上海200030

从分析视频数据的结构和特点出发 ,总结了基于内容检索的视频处理方法的一般步骤 ,即视频分割、关键帧选取、静态和动态特征提取以及视频聚类等 ,然后深入介绍了各个处理过程中的一些最新方法 ,并分析了各种方法和技术的优缺点 ;最后 ,... 详细信息

从分析视频数据的结构和特点出发 ,总结了基于内容检索的视频处理方法的一般步骤 ,即视频分割、关键帧选取、静态和动态特征提取以及视频聚类等 ,然后深入介绍了各个处理过程中的一些最新方法 ,并分析了各种方法和技术的优缺点 ;最后 ,对基于内容的视频检索提出一些值得进一步研究的问题 .

关键词：视频数据库视频检索视频处理技术

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A content-based storage and retrieval scheme for image and video databases

A content-based storage and retrieval scheme for image and v...

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Visual Communications and image Processing 1998 Conference

作者： Herodotou, N Plataniotis, KN Venetsanopoulos, AN Univ Toronto Digital Signal & Image Proc Lab Dept Elect & Comp Engn Toronto ON M5S 3G4 Canada

ISBN: (纸本)0819427497

In this paper, a technique is presented to locate and track the facial areas in image and video databases. The extracted facial regions are used to obtain a number of features that are suitable for content-based storage and retrieval. The proposed face localization method consists of essentially two components: i) a color processing unit, and ii) a shape and color analysis module. The color processing component utilizes the distribution of skin-tones in the HSV color space to obtain an initial set of candidate regions or objects. The latter shape and color analysis module is used to correctly identify the facial regions when falsely detected objects are extracted. A number of features such as hair color, skin-tone, and face location and size are subsequently determined from the extracted facial areas. The hair and skin colors provide useful descriptions related to the human characteristics while the face location and size can reveal information about the activity within the scene (i.e. spatial relationships with other objects), and the type of image (i.e. portrait shot, complete body). These features can be effectively combined with others and employed in user queries to retrieve particular facial images.

关键词： facial image databases face location content-based storage/retrieval color segmentation

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