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Automated semantic structure reconstruction and representation generation for broadcast news

Automated semantic structure reconstruction and representati...

引用

7th storage and retrieval for image and video databases conference

作者： Huang, Q Liu, Z Rosenberg, A AT&T Labs Res Red Bank NJ 07701 USA

ISBN: (纸本)0819431273

this paper addresses the problem of recovering the semantic structure of broadcast news. A hierarchy of retrievable units is automatically constructed by integrating information from different media. the hierarchy provides a compact yet meaningful abstraction of the broadcast news data similar to a conventional table of content that can serve as an effective index table, facilitating the capability of browsing through large amounts of data in a non-linear fashion. the recovery of the semantic structure of the data further enables the automated solutions in constructing visual representations that are relevant to the semantics as well as in establishing useful relationships among data units such as topic categorization and content based multimedia hyperlinking. Preliminary experiments of integrating different media for hierarchical segmentation of semantics have yielded encouraging results. Some of the results are presented and discussed in this paper.

关键词： multimedia processing content based video indexing story segmentation

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Finding regions of interest for content-extraction

Finding regions of interest for content-extraction

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7th storage and retrieval for image and video databases conference

作者： Pauwels, EJ Frederix, G Katholieke Univ Leuven ESAT PSI Dept Elect Engn B-3001 Heverlee Belgium

ISBN: (纸本)0819431273

A major problem in Content-Based image retrieval (CBIR) is the unsupervised identification of perceptually salient regions in images. We contend that this problem can be tackled by mapping the pixels into various feature-spaces, whereupon they are subjected to a grouping-algorithm, In this paper we develop a robust and versatile non-parametric clustering algorithm that is able to handle the unbalanced and highly irregular clusters encountered in such CBIR-applications. the strength of our approach lies not so much in the clustering itself, but rather in the definition and use of two duster-validity indices that are independent of the cluster-topology. By combining them, an optimal clustering;can be identified, and experiments confirm that the associated clusters do indeed correspond to perceptually salient image-regions.

关键词： clustering segmentation content-extraction image-retrieval feature-extraction

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Wide-area-distributed storage system for multimedia database

Wide-area-distributed storage system for multimedia database

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7th storage and retrieval for image and video databases conference

作者： Ueno, M Kinoshita, S Kuriki, M Murata, S Iwatsu, S NTT Integrated Informat & Energy Syst Labs Musashino Tokyo 1808585 Japan

ISBN: (纸本)0819431273

We have developed a wide-area-distributed storage system for multimedia databases that minimizes the possibility of simultaneous failure of multiple disks in the event of a major disaster. It features a RAID system whose member disks are spatially distributed over a wide area Each node has a device that includes the controller of the RAID and the controller of the member disks controlled by other nodes. the devices in the node are connected to a computer using fiber optic cables and communicate using Fibre-Channel technology. Any computer at a node can utilize multiple devices connected by optical fibers as a single "virtual disk". the advantage of this system structure is that devices and fiber optic cables are shared by the computers. In this report, we first describe our proposed system and a prototype we used for testing, then we discuss its performance, i.e., how the read and write throughputs are affected by data-access delay, the RAID level, and queuing.

关键词： distributed system disaster-tolerant multimedia database system RAID fibre-channel wide distribution storage system file system

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Vector angular distance measure for indexing and retrieval of color

Vector angular distance measure for indexing and retrieval o...

引用

7th storage and retrieval for image and video databases conference

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

ISBN: (纸本)0819431273

A key aspect of image retrieval using color, is the creation of robust and efficient indices. In particular, the color histogram remains the most popular index, due primarily to its simplicity. However, the color histogram has a number of drawbacks. Specifically histograms capture only global activity, they require quantisation to reduce dimensionality, are highly dependent on the chosen color space, have no means to exclude a certain color from a query and can provide erroneous results due to gamma nonlinearity. In this paper we present a vector angular distance measure which is implemented as part of our database system. Our system does away with histogram techniques for color indexing and retrieval and instead implements color vector techniques. We use color segmentation to extract regions of prominent color and use representative vectors from these extracted regions in the image indices. this way we end up with a much smaller index which does not have the granularity of a histogram. Instead similarity is based on our vector angular distance measure between a query color vector and the indexed representative vectors.

关键词： color vectors angular measure color exclusion gamma nonlinearity

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An exposure invariant video retrieval method for Eyetap devices

An exposure invariant video retrieval method for Eyetap devi...

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7th ACM SIGGRAPH International conference on Virtual-Reality Continuum and Its Applications in Industry, VRCAI 2008

作者： Chaisorn, Lekha Manders, Corey Institute for Infocomm Research A-STAR 1 Fusionopolis Way Connexis Singapore 138632 Singapore

ISBN: (纸本)9781605583358

In the field of mediated reality, significant research has been undertaken on the development and use of Eyetap devices. With such a device, it is possible to continuously record a portion of the image entering one or both eyes. However, when using such a device, storage becomes one problem. Fortunately, this may be addressed both by efficient video coding, as well as the fact that information storage is becoming increasing large, and very inexpensive. A possibly greater problem is that given such a large and ever growing image and video collection, retrieval of images and videos becomes a demanding task. In addition, with growing image and video libraries, detection of modified copies increases in importance. In this paper, we present a framework for retrieving images/videos with an Eyetap device, that had also been captured by Eyetap devices, or by other means. We employ the ordinal-based method to tackle image and video indexing and retrieval with the enhanced similarity measure. Because our Eyetap video collection is still quite limited, we instead tested our system on 50 videos obtained from TRECVID 2006. From this experimental result, it is demonstrated that our system is efficient and robust, and thus appropriate for the Eyetap applications we have specified. © 2008 ACM.

关键词： video signal processing

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Quantitative comparison of shot boundary detection metrics

Quantitative comparison of shot boundary detection metrics

引用

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

作者： Ford, Ralph M. Pennsylvania State Univ at Erie Erie PA United States

the detection of shot boundaries in video sequences is an important task for generating indexed video databases. this paper provides a comprehensive quantitative comparison of the metrics that have been applied to shot boundary detection. In addition, several standardized statistical tests that have not been applied to this problem, and three new metrics, are considered. A mathematical framework for quantitatively comparing metrics is supplied. Experimental results based on a video database containing 39,000 frames are included.

关键词： image analysis

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Parsing TV programs for identification and removal of non-story segments

Parsing TV programs for identification and removal of non-st...

引用

7th storage and retrieval for image and video databases conference

作者： McGee, T Dimitrova, N Philips Res Briarcliff Manor NY 10510 USA

ISBN: (纸本)0819431273

Abstr. video information automatically from the TV broadcast requires reliable methods for isolating program and commercial segments out of the full broadcast material. In this paper we present the results from cut, static sequence, black frame and text detection for the purpose of isolating non-program segments. these results are evaluated by comparison to human visual inspection using over 13 hours of varied program content. Using cut rate detection alone produced a high recall with a medium precision. Text detection was performed on the commercials and the false positive segments. Adding text detection slightly lowers the recall, however, much higher precision is achieved. A new fast black frame detector algorithm is presented. Black frame detection is important for identifying the commercial boundaries. the results indicate that adding the detection of text in addition to cut rate to reduce the number of false positives appears to be a promising method. Furthermore, by adding the information about the position and size of the text and tracking it through an area should further increase the reliability.

关键词： commercial detection video segmentation video content analysis video parsing

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Gaussian mixture model for human skin color and its applications in image and video databases

Gaussian mixture model for human skin color and its applicat...

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

作者： Yang, Ming-Hsuan Ahuja, Narendra Univ of Illinois at Urbara-Champaign Urbana IL United States

this paper is concerned with estimating a probability density function of human skin color using a finite Gaussian mixture model whose parameters are estimated through the EM algorithm. Hawkins' statistical test on the normality and homoscedasticity (common covariance matrix) of the estimated Gaussian mixture models is performed and McLachlan's bootstrap method is used to test the number of components in a mixture. Experimental results show that the estimated Gaussian mixture model fits skin images from a large database. Applications of the estimated density function in image and video databases are presented.

关键词： Feature extraction

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Adaptive storage and retrieval of large compressed images

Adaptive storage and retrieval of large compressed images

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

作者： Smith, John R. Castelli, Vittorio Li, Chung-Sheng IBM T.J. Watson Research Cent Hawthorne NY United States

Enabling the efficient storage, access and retrieval of large volumes of multi-dimensional data is one of the important emerging problems in databases. We present a framework for adaptively storing, accessing, and retrieving large images. the framework uses a space and frequency graph to generate and select image view elements for storing in the database. By adapting to user access patterns, the system selects and stores those view elements that yield the lowest average cost for accessing the multi-resolution sub-region image views. the system uses a second adaptation strategy to divide computation between server and client in progressive retrieval of image views using view elements. We show that the system speeds-up retrieval for access and retrieval modes such as drill-down browsing and remote zooming and panning and minimizes the amount of data transfer over the network.

关键词： Information retrieval systems

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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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