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conference on storage and retrieval for image and video databases V

作者： Liang, KC Wan, X Kuo, CCJ Univ. of Southern California (United States)

ISBN: (纸本)0819424331

The wavelet packet transform and the successive approximation quantization techniques, which have been adopted in modern wavelet coding, are exploited for content-based image retrieval in this research. By adopting this approach, images can be compressed and indexed simultaneously, and the complexity of database management can be significantly reduced. The proposed new feature for image indexing is the number of significant wavelet coefficients in each wavelet packet subband. This feature does not only serve as a good representation of image content but also allows a hierarchical retrieval and browsing of images and facilitates the progressive transmission of retrieved images. Extensive experimental results are provided to demonstrate the retrieval efficiency of the proposed new method.

关键词： wavelets wavelet packets compression features image retrieval image indexing

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Object-based video description: From low level features to semantics

Object-based video description: From low level features to s...

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conference on storage and retrieval for Media databases 2001

作者： Ekin, A Tekalp, AM Mehrotra, R Univ Rochester Dept Elect & Comp Engn Rochester NY 14627 USA

ISBN: (纸本)0819439932

We present a generic model to describe image and video content by a combination of semantic entities and low level features for semantically meaningful and fast retrieval. The proposed model includes semantic entities such as Object, Event and Actors to express relations between title first two. The use of Actors entity increases the efficiency of certain types of search, while the use of semantic and linguistic roles increases the expression capability of the model. The model also contains links to high-level media segments such as actions and interactions, and low level media segments such as elementary motion and reaction units, as well as low-level features such as motion parameters and trajectories. Based on this model, we propose image and video retrieval combining semantic and low-level information. The retrieval performance of our system is tested by using query-by-annotation, query-by-example, query-by-sketch, and a combination of them.

关键词： semantic model video events and objects object motion description elementary motion units elementary reaction units trajectory matching semantic retrieval

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video server technology for high-performance retrieval in video-on-demand 5

Video server technology for high-performance retrieval in vi...

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conference on storage and retrieval for image and video databases V

作者： Sugiyama, H Takahata, M Nishimura, K NTT Human Interface Labs. (Japan)

ISBN: (纸本)0819424331

A powerful new set of video playback control functions is proposed which aids subscribers in finding specific programs or contents from among a vast store of video materials. For conducting title-based searches, repeat and clip capabilities are proposed as ways of previewing or browsing a program's contents. For retrieving information from within a program, skip and fast forward/rewind functions are effective when searching through video materials that are familiar, while midway playback is an effective approach when searching through material that had never been seen before. Most significantly, this set of video playback controls permits visual searches without reducing the number of concurrent users that can be supported while preserving a video access response time of under 1 second. The proposed methods are implemented in an experimental system and evaluated.

关键词： video search indexing video on demand video server

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Content-based analysis and indexing of sports video

Content-based analysis and indexing of sports video

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storage and retrieval for Media databases 2002 conference

作者： Luo, M Bai, XS Xu, GY Tsinghua Univ Dept Comp Sci & Technol State Key Lab Intelligent Technol & Syst Beijing 100084 Peoples R China

ISBN: (纸本)0819444162

An explosion of on-line image and video data in digital form is already well underway. With the exponential rise in interactive information exploration and dissemination through the World-Wide Web, the major inhibitors of rapid access to on-line video data are the management of capture and storage, and content-based intelligent search and indexing techniques. This paper proposes an approach for content-based analysis and event-based indexing of sports video. It includes a novel method to organize shots-classifying shots as close shots and far shots, an original idea of blur extent-based event detection, and an innovative local mutation-based algorithm for caption detection and retrieval. Results on extensive real TV programs demonstrate the applicability of our approach.

关键词： video indexing caption detection and retrieval shot segmentation shot classification blur extent event detection

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A DISTRIBUTED HIERARCHICAL storage MANAGER FOR A video-ON-DEMAND SYSTEM 2

A DISTRIBUTED HIERARCHICAL STORAGE MANAGER FOR A VIDEO-ON-DE...

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conference on storage and retrieval for image and video databases II

作者： FEDERIGHI, C ROWE, LA UNIV CALIF BERKELEY DIV COMP SCIBERKELEYCA 94720

ISBN: (纸本)0819414808

The design of a distributed video-on-demand system that is suitable for large video libraries is described. The system is designed to store 1000s of hours of video material on tertiary storage devices. A video that a user wants to view is loaded onto a video file server close to the users desktop from where it can be played. The system manages the distributed cache of videos on the file servers and schedules load requests to the tertiary storage devices. The system also includes a metadata database, described in a companion paper, that the user can query to locate video material of interest. This paper describes the software architecture, storage organization, application protocols for locating and loading videos, and distributed cache management algorithm used by the system. © 1994 Proceedings of SPIE - The International Society for Optical Engineering. All rights reserved.

关键词： Virtual storage

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Multimedia information retrieval by analysing content and learning from examples

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 63-74页

作者： Ganapathy, S.Kicha Lei, Zhibin Safranek, Robert J. Bell Lab Murray Hill 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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Contextual bitplane coding for DWT image compression 5

Contextual bitplane coding for DWT image compression

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conference on storage and retrieval for image and video databases V

作者： NguyenPhi, K Weinrichter, H Technische Univ. Wien (Austria)

ISBN: (纸本)0819424331

We propose anew simple image coder based on Discrete Wavelet Transform (DWT). The DWT coefficients are coded in bitplanes. We use a variable order Markovian model to code the DWT coefficient bitplanes. Recently, we have developed this method that used 65 contexts(7). In this paper, the number of contexts is reduced to 34. We show the experimental results, both in terms of distortion measurement and visual comparison, and compare them to well-known methods.

关键词： wavelet image compression bitplane coding zero-tree coding

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Efficient video sequence retrieval in large repositories

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 108-119页

作者： Sundaram, Hari Chang, Shih-Fu Columbia Univ New York United States

This paper presents algorithms to deal with problems associated with indexing high-dimensional feature vectors that characterize video data. Indexing high dimensional vectors is well known to be computationally expensive. Our solution is to optimally split the high dimensional vector into a few low dimensional feature vectors and querying the system for each feature vector. This involves solving an important sub-problem: developing a model of retrieval that enables us to query the system efficiently. Once we formulate the retrieval problem in terms of a retrieval model, we present an optimality criterion to maximize the number of results using this model. The criterion is based on a novel idea of using the underlying probability distribution of the feature vectors. A branch-and-prune strategy optimized per each query, is developed. This uses the set of features derived from the optimality criterion. Our results show that the algorithm performs well, giving a speedup of a factor of 25 with respect to a linear search while retaining the same level of Recall.

关键词： Feature extraction

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On video retrieval:: Content analysis by imageMiner™

On video retrieval:: Content analysis by ImageMiner™

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storage and retrieval for image and video databases VI conference

作者： Alshuth, P Hermes, T Voigt, L Herzog, O Univ Bremen Ctr Comp Technol Image Proc Dept D-28334 Bremen Germany

ISBN: (纸本)0819427527

In this paper videos are analyzed to get a content-based decription of the video. The structure of a given video is useful to index long videos efficiently and automatically. A comparison between shots gives an overview about cut frequency, cut pattern, and scene bounds. After a shot detection the shots are grouped into clusters based on their visual similarity. A time-constraint clustering procedure is used to compare only those shots that are positioned inside a time range. Shots from different areas of the video (e.g., begin/end) are not compared. With this cluster information that contains a list about shots and their clusters it is possible to calculate scene bounds. A labeling of all clusters gives a declaration about the cut pattern. It is easy now to distinguish a dialogue from an action scene. The final content analysis is done by the imageMiner* system. The imageMiner system developed at the University of Bremen of the image Processing Department of the Center for Computing Technology realizes content-based image retrieval for still images through a novel combination of methods and techniques of computer vision and artifical intelligence. The imageMiner system consists of three analysis modules for computer vision, namely for color, texture, and contour analysis. Additionally exists a module for object recognition. The output of the object recognition module can be indexed by a text retrieval system. Thus, concepts like forestscene may;be searched for. We combine the still image analysis with the results of the video analysis in order to retrieve shots or scenes.

关键词： content-based image retrieval image analysis video analysis image mosaicing graph grammar

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Similarity measures for image databases

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storage and retrieval for image and video databases iii

作者： Jain, Ramesh C. Murthy, S.N. Tran, Luong Chatterjee, Shankar Univ. of California/San Diego La Jolla CA USA United States

ISBN: (纸本)081941767X

Similarity between images is used for storage and retrieval in image databases. In the literature, several similarity measures have been proposed that may be broadly categorized as: (1) metric based, (2) set-theoretic based, and (3) decision-theoretic based measures. In each category, measured based on crisp logic as well as fuzzy logic are available. In some applications such as image databases, measures based on fuzzy logic would appear to be naturally better suited, although so far no comprehensive experimental study has been undertaken. In this paper, we report results of some of the experiments designed to compare various similarity measures for application to image databases. We are currently working with texture images and intend to work with face images in the near future. As a first step for comparison, the similarity matrices for each of the similarity measures are computed over a set of selected textures and are presented as visual images. Comparative analysis of these images reveals the relative characteristics of each of these measures. Further experiments are needed to study their sensitivity to small changes in images such as illumination, magnification, orientation, etc. We describe these experiments (sensitivity analysis, transition analysis, etc.) that are currently in progress. The results from these experiments offer assistance in choosing the appropriate measure for applications to image databases.

关键词： Database systems

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