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7th storage and retrieval for image and video databases conference

作者： Kobayashi, A Yoshida, T Sakai, Y Tokyo Inst Technol Fac Engn Tokyo 1528552 Japan

ISBN: (纸本)0819431273

This paper proposes an image retrieval system which searches a database for images similar to a target, imagined by a user. The system uses image features, rather than keywords, and retrieves images by reducing a multidimensional feature space generated by the image feature vectors. First, the system presents the user some sample images with a suitable feature vector value and requires the user's interaction to obtain information on which image is similar to the target he/she has in his/her mind. Then, the information is used to appropriately reduce the feature space. This process is continued until the target region is reduced to a suitable volume. Since this method requires neither real target image nor keywords in retrieving, it is quite simple and practical. Experimental results show the advantage and efficiency of the proposed system.

关键词： image database image retrieval feature space interactive retrieval

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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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Multi-linearization data structure for image browsing

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 155-166页

作者： Craver, Scott Yeo, Boon-Lock Yeung, Minerva Princeton Univ Princeton United States

image search has been actively studied in recent years. On the other hands, image browsing has received little attention. image browsing refers to the process of presenting some forms of overview or summary of the image relationships, thus facilitating a user to navigate across the data set and find images of interests. In this paper, we present a new data structure built on the multi-linearization of image attributes for efficient organization of the data set and fast visual browsing of the images. We describe new techniques for multi-linearization based on multiple space-filling curves and hierarchical clustering techniques. In addition to providing fast navigation, our proposed data structure allows computationally efficient insertion and deletion of images from the data set. We then present a novel image navigator and browser built on dual-linearization data structure and intuitive presentation of image relevance and relationships, demonstrate the image navigation process, and report results on 1000 and 22,000 image databases. We also discuss how our data structure can be extended to support fast image search.

关键词： image analysis

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Comparison and improvement of color-based image retrieval techniques

Comparison and improvement of color-based image retrieval te...

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storage and retrieval for image and video databases vI conference

作者： Zhang, YJ Liu, ZW He, Y Tsing Hua Univ Dept Elect Engn Beijing 100084 Peoples R China

ISBN: (纸本)0819427527

With the increasing popularity of image manipulation with contents, many color-based image retrieval techniques have been proposed in the literature. A systematic and comparative study of 8 representative techniques is first presented in this paper, which uses a database of 200 images of nags and trademarks. These techniques are determined to cover the variations of the color models used, of the characteristic color features employed and of the distance measures calculated for judging the similarity of color images. The results of this comparative study are presented both by the lists of retrieved images for subjective visual inspection and by the retrieving ratios computed for objective judgment. All of them show that the cumulative histogram based techniques using Euclidean distance measures in two perception related color spaces give best results among the 8 techniques under consideration. Started from the best performed techniques, works toward further improving their retrieving capability are then carried on and this has resulted 2 new techniques which use local cumulative histograms. The new techniques have been tested by using a database of 400 images of real flowers which are quite complicated in color contents. Some satisfactory results, compared to that obtained by using existing cumulative histogram based techniques are obtained and presented.

关键词： content-based technique image querying image retrieval image database color model color transform histogram moment matching distance measure

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storage HIERARCHY FOR video-ON-DEMAND SYSTEMS 2

STORAGE HIERARCHY FOR VIDEO-ON-DEMAND SYSTEMS

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conference on storage and retrieval for image and video databases II

作者： SUZUKI, H NISHIMURA, K UEMORI, A SAKAMOTO, H NIPPON TELEGRAPH & TEL PUBL CORP HUMAN INTERFACE LABSMUSASHINOTOKYO 180JAPAN

ISBN: (纸本)0819414808

In this paper, we evaluate the performance of our trial hierarchical storage server by using simulation. Our system is composed of magnetic disk drives and an optical mass storage system (MSS). This is based on three key techniques: (1) multiple readout control using the time slot synchronous method, (2) quick access control of the MSS by using magnetic disk drives, (3) a storage hierarchy method for video programs that has three configurations. To verify the effectiveness of our storage hierarchy, we construct a queuing network simulation model of the system based on experimentally measured values, and analyze the average waiting time for each of the three configurations of video programs. Selecting the appropriate video program configuration shortens the average waiting time to half of previous times, with a quick access of less than 1 second, and with 8 simultaneous readouts. storage costs are reduced to about half that of magnetic disk drives only.

关键词： video Magnetism Optical discs Compact discs Local area networks Optical storage Telecommunications Control systems Data storage Interfaces

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vector angular distance measure for indexing and retrieval of color

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 604-613页

作者： Androutsos, D. Plataniotis, K.N. venetsanopoulos, A.N. Univ of Toronto Toronto Canada

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 quantization 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 image processing

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Content-based search and annotations in multimedia digital libraries 4

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

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4th Mexican International conference on Computer Science (ENC 2003)

作者： Arias, JA Sánchez, JA Univ Americas Puebla CENTIA Lab Interact & Cooperat Technol Cholula 72820 Mexico

ISBN: (纸本)0769519156

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 a 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-valuates 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： Graphical user interfaces image retrieval Indexing Information retrieval Layout Multimedia databases Software libraries Speech processing Streaming media Testing

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Content-based live video retrieval by telop character recognition: Tv-on-demand

Content-based live video retrieval by telop character recogn...

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7th storage and retrieval for image and video databases conference

作者： Takahata, M Kuwano, H Kurakake, S Matsuda, C Nishimura, K Nippon Telegraph & Tel Corp Human Interface Labs Musashino Tokyo 1808585 Japan

ISBN: (纸本)0819431273

We have developed a Tv-on-demand system that provides playback of a television program after a period ranging from a few seconds to one week after broadcast, and have conducted usage trials in cooperation with a television station in Nagano Prefecture of Japan. This system has been achieved through the development of various technologies such as automatic updating of stored television programs and contents retrieval by telop characters, Users in the trials can begin playback of a television program immediately after its broadcast has begun. The purpose of the trials was to evaluate the system's usability in applications such as contents retrieval, selective viewing of commercials, and customer service at the television station. This paper presents applied technologies and some experimental results and also addresses a new direction of information retrieval system based on the evaluation of the usage trials.

关键词： video-on-demand content-based retrieval telop character recognition automatic video indexing

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Efficient video search using image queries

Efficient video search using image queries

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作者： Araujo, A. Makar, M. Chandrasekhar, v. Chen, D. Tsai, S. Chen, H. Angst, R. Girod, B. Stanford University United States Qualcomm Inc. United States Institute for Infocomm Research Singapore Singapore

ISBN: (纸本)9781479957514

We study the challenges of image-based retrieval when the database consists of videos. This variation of visual search is important for a broad range of applications that require indexing video databases based on their visual contents. We present new solutions to reduce storage requirements, while at the same time improving video search quality. The video database is preprocessed to find different appearances of the same visual elements, and build robust descriptors. Compression algorithms are developed to reduce system's storage requirements. We introduce a dataset of CNN broadcasts and queries that include photos taken with mobile phones and images of objects. Our experiments include pairwise matching and retrieval scenarios. We demonstrate one order of magnitude storage reduction and search quality improvements of up to 12% in mean average precision, compared to a baseline system that does not make use of our techniques. © 2014 IEEE.

关键词： Database systems

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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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