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IEEE International conference on Computer Vision (ICCV)

作者： Cherian, Anoop Sra, Suvrit Banerjee, Arindam Papanikolopoulos, Nikolaos Univ Minnesota Dept CS & Engn Minneapolis MN 55455 USA MPI Intelligent Syst Tubingen Germany

ISBN: (纸本)9781457711022

Covariance matrices provide compact, informative feature descriptors for use in several computer vision applications, such as people-appearance tracking, diffusion-tensor imaging, activity recognition, among others. A key task in many of these applications is to compare different covariance matrices using a (dis) similarity function. A natural choice here is the Riemannian metric corresponding to the manifold inhabited by covariance matrices. But computations involving this metric are expensive, especially for large matrices and even more so, in gradient-based algorithms. To alleviate these difficulties, we advocate a novel dissimilarity measure for covariance matrices: the Jensen-Bregman LogDet Divergence. This divergence enjoys several useful theoretical properties, but its greatest benefits are: (i) lower computational costs (compared to standard approaches);and (ii) amenability for use in nearest-neighbor retrieval. We show numerous experiments to substantiate these claims.

关键词： Accuracy Covariance matrix databases Eigenvalues and eigenfunctions Manifolds Measurement Vectors

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image retrieval in Multimedia databases: A Survey

Image Retrieval in Multimedia Databases: A Survey

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International conference on Intelligent Information Hiding and Multimedia Signal Processing (iiHMSP)

作者： Yihun Alemu Jong-bin Koh Muhammed Ikram Dong-Kyoo Kim Department of Computer Engineering Ajou University Suwon South Korea

In the past decades the advancement in the area of database management systems shifts towards multimedia. Multimedia information is very expressive, self explanatory, narrative, etc. Now a day the development of digital media, advanced network infrastructure and the easily available consumer electronics makes the multimedia revolution to run in an alarming rate. Inline with the advancement of database technology that incorporates multimedia data, an open question that always rose in the technology is how to retrieve/search images in the multimedia databases. There are a huge number of research works focusing on the searching mechanisms in image databases for efficient retrieval and tried to give supplementary suggestions on the overall systems. The growing of digital medias (digital camera, digital video, digital TV, e-book, cell phones, etc.) gave rise to the revolution of very large multimedia databases, in which the need of efficient storage, organization and retrieval of multimedia contents came into question. Among the multimedia data, this survey paper focuses on the different methods (approaches) and their evaluation techniques used by many of recent research works on image retrieval system. Many researchers develop and use lots of approaches towards image retrieval. This paper, in general, classified image retrieval into text based and content based, including the newly growing ontology based image retrieval system as one focus. We address, in this paper, the challenges, techniques and evaluation methods used in image retrieval systems through a detailed look of most recent works.

关键词： Information retrieval image retrieval Multimedia databases Multimedia systems Content based retrieval image databases Database systems Consumer electronics Digital cameras Digital TV

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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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Efficient image retrieval Using image and Audio Features in video Stream

Efficient Image Retrieval Using Image and Audio Features in ...

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International conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)

作者： In-Kyoung Shin Hyochang Ahn Yong-Hwan Lee Dept. of Applied Computer Engineering Dankook University Yongin-si Korea Dept. of Smart Mobile Far East Uinversity Chungcheongbuk-do Korea

ISBN: (纸本)9781509009855

Recently, information has changed to the development of the information communication network and multimedia technology. The multimedia technology is used as application techniques including the storage, playback, compression, and so on. Also it has changed rapidly and extensively over the world. Therefore numerous search schemes such as the video retrieval, speech retrieval are required. Current video retrieval methods have various problems as following redundancy of data and the inconsistency of a keyword, and infringement of copyright. In this paper, we propose implementation of novel scheme that carried out efficient retrievals for audio signal and image in video stream as rapidly changing generation of information communication.

关键词： Feature extraction Streaming media Motion pictures Speech Speech recognition databases Multimedia communication

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Review of significant researches on multimedia information retrieval

Review of significant researches on multimedia information r...

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International conference on Communication, Information & Computing Technology

作者： Sunita M. Jadhav Vikram S. Patil Department of Electronics & Telecommunication SCOE Kharghar Navi Mumbai India Sanjeevan Engineering and Technology Institute Panhala-Kolhapur India

Traditionally, the database is of text and numerical data only, which is having less attention nowadays because of the massive amount of multimedia content. In the multimedia and storage technology, the preceding two decades have resulted in a substantial progress that has led to building of a large repository of digital image, video, and audio data. Currently, the information retrieval from the multimedia content is having a great attention. For exploring through the myriad variety of media all over the world Content-based multimedia information retrieval provides paradigms and methods. In this paper, an extensive review on Multimedia content based retrieval is presented together with the classification by means of the multimedia content either it may be an image or audio or video. In addition, a concise description about multimedia content retrieval is presented. Further more, a brief description on image, audio and video retrieval is presented.

关键词： Multimedia communication Streaming media Feature extraction image retrieval Multimedia databases Visualization

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Content-based search and annotations in multimedia digital libraries

Content-based search and annotations in multimedia digital l...

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Mexican International conference on Computer Science (ENC)

作者： J.A. Arias J.A. Sanchez Laboratory of Interactive and Cooperative Technologies CENTIA Universidad de las Américas-Puebla Cholula Puebla Mexico Libraries Division and CENTIA Universidad de las Américas-Puebla Cholula Puebla Mexico

This paper describes a solution for the organization and management of multimedia collections in digital libraries. video U-DL-A (VUDLA) is an extension to a digital library that allows for storage, indexing and annotation of multimedia documents. It functions in such way that text- and image-based queries can be issued in order to retrieve specific scenes from digital video collections. Technologies such as image and speech processing, video streaming, multimedia databases, information retrieval and graphical user interfaces are integrated to produce a novel multimedia, multimodal environment which re-evaluates text as an important medium for knowledge transmission. We have developed a fully operational testbed to explore multimedia data properties and organization possibilities as well as a wide range of practical applications.

关键词： Software libraries Streaming media Multimedia databases image retrieval Indexing Layout Speech processing Information retrieval Graphical user interfaces Testing

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Spatial video retrieval based on the piecewise method

Spatial video retrieval based on the piecewise method

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International conference on Advanced Information Networking and Applications (AINA)

作者： Yung Kuan-Chan Chin-Chen Chang Department of Management Information System National Chung Hsing University Taichung Taiwan Department of Computer Science and Information Engineering National Chung Cheng University Chiayi Taiwan

The similarity video retrieval problem is traditionally solved by calculating all the possible distances of image matching between each frame v in the database video frame sequences and each frame q in the query frame sequence. Obviously, it is a time-consuming strategy. This paper offers a new technique called the piecewise method to overcome this drawback. The basic concept of this method is that the image matching distance between the pair of frames q and v is computed only if q is similar to v. In most cases, the executive time of this method is less than that of traditional methods. However, the piecewise method cannot accurately retrieve the videos satisfying the requirement of the query frame sequence from the database. This paper provides another more precise video retrieval method based on video shot, that is the piecewise refinement method, to remedy this shortcoming. It is a revision of the piecewise method. Experimental results show that the piecewise refinement method gives an impressive performance not only in processing time but also in storage space.

关键词： image matching image retrieval Information retrieval video sharing Cameras Gunshot detection systems Management information systems Computer science image databases video sequences

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Advances in Multimedia Modeling 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Shipeng Li Tao Mei Abdulmotaleb Saddik Meng Wang Richang Hong Nicu Sebe Shuicheng Yan Cathal Gurrin

ISBN: (数字)9783642357251

ISBN: (纸本)9783642357244

The two-volume set LNCS 7732 and 7733 constitutes the thoroughly refereed proceedings of the 19th International conference on Multimedia Modeling, MMM 2012, held in Huangshan, China, in January 2013.;The 30 revised regular papers, 46 special session papers, 20 poster session papers, and 15 demo session papers, and 6 video browser showdown were carefully reviewed and selected from numeroues submissions. The two volumes contain papers presented in the topical sections on multimedia annotation I and ii, interactive and mobile multimedia, classification, recognition and tracking I and ii, ranking in search, multimedia representation, multimedia systems, poster papers, special session papers, demo session papers, and video browser showdown.

关键词： Multimedia Information Systems Information storage and retrieval Information Systems Applications (incl. Internet) image Processing and Computer Vision Pattern Recognition Data Mining and Knowledge Discovery

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Advances in Multimedia Modeling 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Shipeng Li Tao Mei Abdulmotaleb Saddik Meng Wang Richang Hong Nicu Sebe Shuicheng Yan Cathal Gurrin

ISBN: (数字)9783642357282

ISBN: (纸本)9783642357275

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Dimensionality reduction for similarity searching in dynamic databases

Dimensionality reduction for similarity searching in dynamic...

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Proceedings of the ACM SIGMOD International conference on Management of Data

作者： Kanth, K.V.Ravi Agrawal, Divyakant Singh, Ambuj Univ of California at Santa Barbara Santa Barbara United States

databases are increasingly being used to store multi-media objects such as maps, images, audio and video. storage and retrieval of these objects is accomplished using multi-dimensional index structures such as R*-trees and SS-trees. As dimensionality increases, query performance in these index structures degrades. This phenomenon, generally referred to as the dimensionality curse, can be circumvented by reducing the dimensionality of the data. Such a reduction is however accompanied by a loss of precision of query results. Current techniques such as QBIC use SVD transform-based dimensionality reduction to ensure high query precision. The drawback of this approach is that SVD is expensive to compute, and therefore not readily applicable to dynamic databases. In this paper, we propose novel techniques for performing SVD-based dimensionality reduction in dynamic databases. When the data distribution changes considerably so as to degrade query precision, we recompute the SVD transform and incorporate it in the existing index structure. For recomputing the SVD-transform, we propose a novel technique that uses aggregate data from the existing index rather than the entire data. This technique reduces the SVD-computation time without compromising query precision. We then explore efficient ways to incorporate the recomputed SVD-transform in the existing index structure without degrading subsequent query response times. These techniques reduce the computation time by a factor of 20 in experiments on color and texture image vectors. The error due to approximate computation of SVD is less than 10%.

关键词： Distributed database systems

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