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检索条件"任意字段=Storage and Retrieval for Image and Video Databases VI"

共 481 条记录，以下是221-230 订阅

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VORTEX: video retrieval and tracking from compressed multimedia databases - Template matching from MPEG2 video compression standard

VORTEX: Video retrieval and tracking from compressed multime...

引用

Conference on Multimedia storage and Archiving Systems III

作者： Schonfeld, D Lelescu, D Univ Illinois EECS Dept Signal & Image Res Lab Chicago IL 60607 USA

ISBN: (纸本)0819429880

In this paper, a novel visual search engine for video retrieval and tracking from compressed multimedia databases is proposed. Our approach exploits the structure of video compression standards in order to perform object matching directly on the compressed video data. This is achieved by utilizing motion compensation-a critical prediction filter embedded in video compression standards-to estimate and interpolate the desired method for template matching. Motion analysis is used to implement fast tracking of objects of interest on the compressed video data. Being presented with a query in the form of template images of objects, the system operates on the compressed video in order to find the images or video sequences where those objects are present and their positions in the image. This in turn enables the retrieval and display of the query-relevant sequences.

关键词： video retrieval compressed multimedia databases compressed domain processing motion analysis MPEG

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Implementation and performance evaluation of a progressive image retrieval system

Implementation and performance evaluation of a progressive i...

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storage and retrieval for image and video databases vi

作者： Liang, Kai-Chieh Kuo, C.-C. Jay Integrated Media Systems Center Dept. of Elec. Engineering Systems University of Southern California Los Angeles CA 90089-2564 United States

An integrated wavelet-based image storage and indexing system is proposed in this research. Indexing features of consideration contains the texture, color and spatial information of images. These features can be naturally extracted during the successive approximation quantization (SAQ) stage of the wavelet compression process. Extensive experimental results are performed to demonstrate the retrieval performance of the new approach.

关键词： image retrieval

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VORTEX: video retrieval and tracking from compressed multimedia databases - affine transformation and occlusion invariant tracking from MPEG-2 video

VORTEX: video retrieval and tracking from compressed multime...

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7th storage and retrieval for image and video databases Conference

作者： Schonfeld, D Lelescu, D Univ Illinois Dept EECS Signal & Image Res Lab Chicago IL 60680 USA

ISBN: (纸本)0819431273

In this paper, we present topics related to tracking of video objects in compressed video databases in the context of video retrieval applications. We developed a video retrieval and tracking system (VORTEX) to enable operation directly on compressed video data. The structure of the video compression standards is exploited in order to avoid the costly decompression operation. This is achieved by utilizing motion compensation-a critical prediction filter embedded in video compression standards-to estimate and interpolate the desired method for template matching. Occlusion analysis, filtering and motion analysis are used to implement fast tracking of objects of interest on the compressed video data. Being presented with a query in the form of template images of objects, the system operates on the compressed video in order to find the images or video sequences where those objects are present and their positions in the image. This enables the retrieval and display of the query-relevant sequences.

关键词： video retrieval compressed multimedia databases compressed domain processing motion analysis occlusion MPEG

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Fast texture database retrieval using extended fractal features

Fast texture database retrieval using extended fractal featu...

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storage and retrieval for image and video databases vi

作者： Kaplan, Lance M. Murenzi, Romain Namuduri, Kameswara R. Dept. of Computer Science Ctr. for Theoretical Studies of Phy. Clark Atlanta University Atlanta GA 30314 United States

The increase in the number of multimedia databases consisting of images has created a need for a quick method to search these databases for a particular type of image. An image retrieval system will output images from the databases similar to the query image in terms of shape, color, and texture. For the scope of our work, we study the performance of multiscale Hurst parameters as texture features for database image retrieval over a database consisting of homogeneous textures. These extended Hurst features represent a generalization of the Hurst parameter for fractional Brownian motion (fBm) where the extended parameters quantize the texture roughness of an image at various scales. We compare the retrieval performance of the extended parameters against traditional Hurst features and features obtained from the Gabor wavelet. Gabor wavelets have previously been suggested for image retrieval applications because they can be turned to obtain texture information for a number of different scales and orientations. In our experiments, we form a database combining textures from the Bonn, Brodatz, and MIT visTex databases. Over the hybrid database, the extended fractal features were able to retrieve a higher percentage of similar textures than the Gabor features. Furthermore, the fractal features are faster to compute that the Gabor features.

关键词： image retrieval

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A fast content-based multimedia retrieval technique using compressed data

A fast content-based multimedia retrieval technique using co...

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Conference on Multimedia storage and Archiving Systems III

作者： Furht, B Saksobhavivat, P Florida Atlantic Univ NSF Multimedia Lab Boca Raton FL 33431 USA

ISBN: (纸本)0819429880

In this paper, we present a novel technique that can be used for fast similarity-based indexing and retrieval of both image and video databases in distributed environments. We assume that image or video databases are stored in the compressed form using standard techniques such as JPEG for images, and M-JPEG or MPEG for videos. The existing techniques, proposed in the literature, use computationally intensive features and cost functions for content-based image and video retrieval and indexing. The proposed algorithm uses an innovative approach based on histograms of DC coefficients only, and therefore is computationally less expensive than the other approaches. In the case of a JPEG-compressed image database, the query process is the following. The user submits a request for search-by-similarity by presenting the desired image. The algorithm calculates the DC coefficients of this image and creates the histogram of DC coefficients. Then, the algorithm compares the DC histogram of the submitted image with the DC histograms of the images stored in the database using a histogram similarity metric. The image database can be local or at a remote server. In our experiments, we compared several histogram similarity metrics: weighted Euclidean distance, square difference, and absolute difference. The algorithm then selects and presents to the user the images with the smallest values of the metric that best match the submitted image. In the case of a compressed video database, the similarity-based indexing and retrieval is more complex. The manipulation of a video database consists of three main operations: (1) partitioning of the video into clips, (2) key frame extraction, and (3) indexing and retrieval of key frames. The proposed algorithm has been applied in all three steps. First, the DC histograms are implemented for partitioning each video into clips or camera shots. Then, in the next phase the same DC histograms are used to extract key frames and create a database of ke

关键词： content-based retrieval and indexing multimedia databases DC coefficients histogram of DC coefficients

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A fuzzy logic approach to digital video segmentation

A fuzzy logic approach to digital video segmentation

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storage and retrieval for image and video databases vi

作者： Ford, Ralph M. The Pennsylvania State Univ. at Erie The Behrend College Erie PA 16563-1701 United States

A fuzzy logic system for the detection of shot boundaries in video sequences is presented. It integrates multiple metrics and knowledge of editing procedures to detect shot boundaries. Furthermore, the system is capable of classifying the editing process employed to create the shot boundary into one of the following categories: abrupt cut, fade-in, fade-out, or dissolve.

关键词： image segmentation

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image content retrieval from image databases using feature integration by Choquet integral

Image content retrieval from image databases using feature i...

引用

7th storage and retrieval for image and video databases Conference

作者： Popescu, M Gader, P Univ Missouri Med Informat Grp Columbia MO 65201 USA

ISBN: (纸本)0819431273

A novel similarity measure based on the Choquet integral was introduced for retrieving images from a image database that "mostly" fit the query image. We showed that in certain conditions the measure is a norm, a fact that can be used to reduce the searching time using the triangle inequality. To test the new measure, a content based image retrieval system was built. The system was benchmarked against the visual retrieval cartridge, virage, built into Oracle 8 database system. The results suggested that the new measure is useful for image retrieval.

关键词： image database Choquet integral similarity measure OWA Oracle 8

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Augmented image histogram for image and video similarity search

Augmented image histogram for image and video similarity sea...

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7th storage and retrieval for image and video databases Conference

作者： Chen, Y Wong, EK Polytech Univ Dept Informat & Comp Sci Brooklyn NY 11201 USA

ISBN: (纸本)0819431273

image histogram is an image feature widely used in content-based image retrieval and video segmentation. It is simple to compute yet very effective as a feature in detecting image-to-image similarity, or frame-to-frame dissimilarity. While the image histogram captures the global distribution of different intensities or colors well, it does not contain any information about the spatial distribution of pixels. In this paper, we propose to incorporate spatial information into the image histogram by computing features from the spatial distance between pixels belonging to the same intensity or color. In addition to the frequency count of the intensity or color, the mean, variance, and entropy of the distances are computed to form an Augmented image Histogram. Using the new feature, we preformed experiments on a set of color images and a color video sequence. Experimental results demonstrate that the Augmented image Histogram performs significantly better than the conventional color histogram, both in image retrieval and video shot segmentation.

关键词： content-based image retrieval video shot segmentation augmented image histogram similarity search spatial information

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Hierarchical clustering algorithm for fast image retrieval

Hierarchical clustering algorithm for fast image retrieval

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7th storage and retrieval for image and video databases Conference

作者： Krishnamachari, S Abdel-Mottaleb, M Philips Res Labs Briarcliff Manor NY 10510 USA

ISBN: (纸本)0819431273

image retrieval systems that compare the query image exhaustively with each individual image in the database are not scalable to large databases. A scalable search system should ensure that the search time does not increase linearly with the number of images in the database. We present a clustering based indexing technique, where the images in the database are grouped into clusters of images with similar color content using a hierarchical clustering algorithm. At search time the query image is not compared with all the images in the database, but only with a small subset. Experiments show that this clustering based approach offers a superior response time with a high retrieval accuracy. Experiments with different database sizes indicate that for a given retrieval accuracy the search time does not increase linearly with the database size.

关键词： image retrieval color histogram scalable clustering hierarchical

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Updates to the QBIC system

Updates to the QBIC system

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storage and retrieval for image and video databases vi

作者： Niblack, Wayne Zhu, Xiaoming Hafner, James Lee Breuel, Tom Ponceloéon, Dulce Petkovic, Dragutin Flickner, Myron Upfal, Eli Nin, Sigfrefo I. Sull, Sanghoon Dom, Byron Yeo, Boon-Lock Srinivasan, Savitha Zivkovic, Dan Penner, Mike IBM Almaden Research Center 650 Harry Rd San Jose CA 95120 United States

QBIC* is a set of technologies and associated software that allows a user to search, browse, and retrieve image, graphic, and video data from large on-line collections. This paper discusses current research directions of the QBIC project such as indexing for high-dimensional multimedia data, retrieval of grey level images, and storyboard generation suitable for video. It describes aspects of QBIC software including scripting tools, application interfaces, and available GUIs, and gives examples of applications and demonstration systems using it.

关键词： Content based retrieval

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