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7th storage and retrieval for image and video databases Conference

作者： Chen, KS Demko, S Xie, RF Iterated Syst Inc Piedmont Ctr 7 Atlanta GA 30305 USA

ISBN: (纸本)0819431273

The color histogram of an image has been widely used as a feature descriptor for the image in content-based retrieval applications. In this paper, some results from our investigation efforts into the usage are reported. We outline three typical color space quantization schemes used in our experiments and introduce the soft-decision histogramming method to eliminate the discontinuity problem in traditional color histogram population process. Then, to improve the effectiveness of color histogram based retrieval algorithms, several similarity metrics are proposed for comparing color histograms, including three special forms of the Kantorovich metric.

关键词： image database content-based image retrieval image descriptor perceptual similarity color histogramming distance metric

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Models for automatic classification of video sequences

Models for automatic classification of video sequences

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storage and retrieval for image and video databases VI Conference

作者： Iyengar, G Lippman, A MIT Media Lab Cambridge MA 02139 USA

ISBN: (纸本)0819427527

In this paper, we explore a technique for automatic classification of video sequences, (such as a TV broadcast, movies). This technique analyses the incoming video sequences and classifies them into categories. It can be viewed as an on-line parser for video signals. We present two techniques for automatic classification. In the first technique, the incoming video sequence is analyzed to extract the motion information. This information is optimally projected onto a single dimension. This projection information is then used to train Hidden Markov Models (HMMs) that efficiently and accurately classify the incoming video sequence. Preliminary results with 50 different test sequences (25 Sports and 25 News sequences) indicate a classification accuracy of 90% by the HMM models. In the second technique, 24 full length motion picture trailers are classified using HMMs. This classification is compared with the internet movie database and we find that they correlate well. Only two out of 24 trailers were classified incorrectly.

关键词： Hidden Markov Models video characterization and classification video indexing automatic content screening density estimation learning

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Guest editors' introduction: Special section on peer-to-peer-based data management

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IEEE Transactions on Knowledge and Data Engineering 2004年第7期16卷 785-786页

作者： Ooi, Beng Chin Tan, Kian-Lee Department of Computer Science National University of Singapore 3 Science Drive 2 Singapore 117543 Singapore

No abstract available

关键词： Peer to peer computing Distributed databases image storage Computer Society Computer industry video sharing Data security Information security Computer networks Content based retrieval

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Location hashing: An efficient indexing method for locating object queries in image databases

Location hashing: An efficient indexing method for locating ...

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7th storage and retrieval for image and video databases Conference

作者： Syeda-Mahmood, T IBM Corp Almaden Res Ctr San Jose CA 95120 USA

ISBN: (纸本)0819431273

Queries referring to content embedded within images are an essential component of content-based search, browse, or summarize operations in image databases. Localization of such queries under changes in appearance, occlusions and background clutter, is a difficult problem, for which current spatial access structures in databases are not suitable. In this paper we present a new method of indexing image databases called location hashing that uses a special data structure called the location hash tree (LHT) for organizing feature information from images of a database. Location hashing is based on the principle of geometric hashing and determines simultaneously, the relevant images in the database and the regions within them that are most likely to contain a 2d pattern query without incurring detailed search of either. The location hash tree being a red-black tree, allows for efficient search for candidate locations using pose-invariant feature information derived from the query.

关键词： databases Low-intensity laser therapy image segmentation Nanoimprint lithography Data modeling Quantization Affine motion model Feature extraction image retrieval Surgery

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Querying multiple perspective video

Querying multiple perspective video

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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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video content characterization and compaction for digital library applications 5

Video content characterization and compaction for digital li...

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Conference on storage and retrieval for image and video databases V

作者： Yeung, MM Yeo, BL IBM Thomas J. Watson Research Ctr. (United States)

ISBN: (纸本)0819424331

In digital libraries and the Internet, large amount of data in various modalities has to be transmitted and delivered across the networks, and is subject to bandwidth constraints and network congestion. Among all multimedia data, video is the most difficult to handle, both in terms of its size and the scarcity of tools and techniques available for efficient delivery, storage and retrieval. Providing tools to help users search and browse large collections of video documents is important. Equally important are the means to deliver and present the essence of video content to the user without noticeable delay. In this paper, we focus on the characterization of video by means of automatic analysis of its visual content and the compact presentation of the underlying story content built upon the derived characteristics. We develop models to capture and characterize video by temporal events, namely, dialogues, actions and story units. We then present these events using succinct visual summaries that depict and differentiate the underlying dramatic elements in an intuitive manner. The combination of video characterization and visual summary offers significant compaction of data size in video far beyond the numbers achieved by traditional video compression, while retaining essential meanings and semantics of the content, and is particularly useful for digital library and Internet applications.

关键词： content analysis video characterization and compaction segmentation of video digital library video database video browsing and transmission

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Multimedia systems for art and culture: A case study of Brihadisvara temple 5

Multimedia systems for art and culture: A case study of Brih...

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Conference on storage and retrieval for image and video databases V

作者： Jain, AK Goel, S Agarwal, S Mittal, V Sharma, H Mahindru, R Michigan State Univ. (United States) Indira Gandhi National Ctr. for the Arts (India)

ISBN: (纸本)0819424331

In India a temple is not only a structure of religious significance and celebration, but it also plays an important role in the social, administrative and cultural life of the locality. Temples have served as centers for learning Indian scriptures. Music and dance were fostered and performed in the precincts of the temples. Built at the end of the 10th century, the Brihadisvara temple signified new design methodologies. We have access to a large number of images, audio and video recordings, architectural drawings and scholarly publications of this temple. A multimedia system for this temple is being designed which is intended to be used for the following purposes: (i) to inform and enrich the general public, and (ii) to assist the scholars in their research. Such a system will also preserve and archive old historical documents and images. The large database consists primarily of images which can be retrieved using keywords, but the emphasis here is largely on techniques which will allow access using image content. Besides classifying images as either long shots or close-ups, deformable template matching is used for shape-based query by image content, and digital video retrieval. Further, to exploit the non-linear accessibility of video sequences, key frames are determined to aid the domain experts in getting a quick preview of the video. Our database also has images of several old, and rare manuscripts many of which are noisy and difficult to read. We have enhanced them to make them more legible. We are also investigating the optimal trade-off between image quality and compression ratios.

关键词： art and culture content-based retrieval deformable template image compression image enhancement video indexing shot boundary detection key frames

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SCALABLE video DATA PLACEMENT ON PARALLEL DISK ARRAYS 2

SCALABLE VIDEO DATA PLACEMENT ON PARALLEL DISK ARRAYS

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Conference on storage and retrieval for image and video databases II

作者： CHANG, E ZAKHOR, A UNIV CALIF BERKELEY BERKELEYCA 94720

ISBN: (纸本)0819414808

We present three strategies for placement of video data on parallel disk arrays. Using a low- level disk model and video data from a scalable subband coding technique, we derive constraints with which to compare the three strategies. One strategy, constant frame grouping, is shown to be superior. Two methods for interleaving multiple videos under the constant frame grouping strategy are presented: nonperiodic and periodic. Periodic interleaving is shown to have the advantages of a lower access time and limited scan and pause functions. The constant frame grouping strategy is tested on an actual array of 8 disks and shown to have performance that is close to the theoretical prediction. The scalable nature of the compressed data is used to relieve the disk system overload for an overly high request rate.

关键词： video Neodymium video compression Data modeling Scalable video coding Data storage Performance modeling Switching Scattering Televisions

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image descriptors based on fractal transform analysis

Image descriptors based on fractal transform analysis

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7th storage and retrieval for image and video databases Conference

作者： Demko, S Khosravi, M Chen, K Iterated Syst Inc Atlanta GA 30305 USA

ISBN: (纸本)0819431273

The Fractal Transform (FT) was originally introduced as a methodology for compressing digital images and representing them at different scales. The process of calculating an FT generates a great dear of information about the affine similarities and dissimilarities of an image, most of which is discarded in compression applications. In this paper we introduce the concept of Fractal Transform Analysis and use it to derive new image descriptors. We present results of experiments in which description schemes comprised of some of these FT-based descriptors are applied to the problems of finding objects in an image similar to a given object, of indexing images, and of querying an image database consisting of about 17,000 images. Complexity and timing data are also presented.

关键词： image databases content-based indexing and retrieval descriptor scheme image descriptor fractal transform

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Texture content based retrieval using text descriptions

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 75-85页

作者： Kuan, J.K.P. Joyce, D.W. Lewis, P.H. ADC Metrica Richmond United Kingdom

We developed a content based retrieval scheme for texture by using text based description. The texture technique is based on our previous work which uses very simple texture primitives such as edges and plain regions to generate features. Other methods that apply complicated statistics can be difficult to transcribe into understandable forms for normal users. Unlike these other methods, with the simplicity of our features, we can express them in terms of simple language. Hence we can bridge the gap between semantics and computed features. A number of benefits can be achieved which opens a new horizon for content based retrieval with texture. For example, the user can request a texture image without necessarily knowing what types of textures are stored. In this paper we describe the method of translating such features and the partial weighted Euclidean distance matching which allows users to describe only the parts that they are interested in. This allows them to gradually refine their texture descriptions.

关键词： Information retrieval

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