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检索条件"任意字段=Conference on Storage and Retrieval for Image and Video Databases III"

共 344 条记录，以下是171-180 订阅

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VORTEX: video retrieval and tracking from compressed multimedia databases-visual search engine

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

引用

Annual Hawaii International conference on System Sciences (HICSS)

作者： D. Schonfeld D. Lelescu EECS Department University of Illinois Urbana-Champaign Chicago IL USA

Multimedia data is generally stored in compressed form in order to efficiently utilize the available storage facilities. Access to archives is dependent on our ability to browse compressed multimedia information-retrieval and tracking from coded video databases. In this paper, a novel visual search engine for video retrieval and tracking from compressed multimedia databases is proposed. The goal of the project is the implementation of a visual browser that operates in a distributed environment where users initiate video searches and retrieve relevant video information simultaneously from multiple video archives. Being presented with a query in the form of template images of objects, the system operates on the compressed video to find the images or video sequences where those objects are present and their positions in the image. Upon user's request, the system will decompress and display only the video sequences of interest.

关键词： Multimedia databases video compression Information retrieval Search engines videoconference image coding Transform coding Electronic mail Visual databases Displays

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Fast video segmentation using encoding cost data

Fast video segmentation using encoding cost data

引用

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

作者： De Queiroz, Ricardo L. Bozdagi, Gozde Sencar, Taha Xerox Corp Webster NY United States

This paper presents a simple and effective pre-processing method developed for the segmentation of MPEG compressed video sequences. The proposed method for scene-cut detection only involves computing the number of bits spent for each frame (encoding cost data), thus avoiding decoding the bitstream. The information is separated into I-, P-, B-frames, thus forming 3 vectors which are independently processed by a new peak detection algorithm based on overcomplete filter banks and on joint thresholding using a confidence number. Each processed vector yields a set of candidate frame numbers, i.e. 'hints' of positions where scene-cuts may have occurred. The 'hints' for all frame types are recombined into one frame sequence and clustered into scene cuts. The algorithm was not designed to distintuish among types of cuts but rather to indicate its position and duration. Experimental results show that the proposed algorithm is effective in detecting abrupt scene changes as well as gradual transitions. For precision demanding applications, the algorithm can be used with a low confidence factor just to select the frames that are worth being investigated by a more complex algorithm. The algorithm is not particularly tailored to MPEG and can be applied to most video compression techniques.

关键词： image segmentation

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image indexing using composite regional color channels features

Image indexing using composite regional color channels featu...

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

作者： Appas, Ahmed R. Darwish, Ahmed M. El-Desouki, Ayman I. Shaheen, Samir I. Electronic Research Inst Dokki Egypt

Color indexing is a technique by which images in the database could be retrieved on the bases of their color content. In this paper, we propose a new set of color features for representing color images, and show how they can be computed and used efficiently to retrieve images that possess certain similarity. These features are based on the first three moments of each color channel. Two differences distinguish this work from previous work reported in the literature. First, we compute the third moment of the color channel distribution around the second moment not around the first moment. The second moment is less sensitive to small luminance changes, than the first moment. Second we combine all three moment values in a single descriptor. This reduces the number of floating point values needed to index the image and hence speeds up the search. To give the user flexibility in terms of defining his center of attention during query time, the proposed approach divides the image into five geometrical regions and allows the user to give different weights for each region to designate its importance. The approach has been tested on databases of 205 images of airplanes and natural scenes. It proved to be insensitive to small rotations and small translations in the image and yielded a better hit rate than similar algorithms previously reported in the literature.

关键词： image analysis

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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...

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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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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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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...

引用

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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videoZoom: A Spatio-temporal video browser for the Internet

VideoZoom: A Spatio-temporal video browser for the Internet

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conference on Multimedia storage and Archiving Systems iii

作者： Smith, JR IBM Corp TJ Watson Res Ctr Hawthorne NY 10532 USA

ISBN: (纸本)0819429880

We describe a system for browsing and interactively retrieving video sequences over the Internet at multiple spatial and temporal resolutions. Each video sequence is decomposed into a hierarchy of video view elements that are retrieved in a progressive fashion. The client browser builds the views of the video sequence by retrieving, caching and assembling the view elements, as needed. This allows the user to quickly browse the video over the Internet by starting with a coarse, low-resolution view and by selectively zooming-in along the temporal and spatial dimensions. We demonstrate that the video view element method is able to represent and deliver the video in a compact form while significantly speeding up the access and progressive retrieval over the Internet.

关键词： video browsing video databases progressive retrieval system optimization for search and retrieval storage hierarchy scalable approaches in storage and network delivery

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Content-based image object retrieval by scale-space representation of shapes

Content-based image object retrieval by scale-space represen...

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conference on Multimedia storage and Archiving Systems iii

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

ISBN: (纸本)0819429880

Vast amounts of inexpensive storage and cost-effective input devices have promoted a rapid increase in the amount of stored digital images and video. Retrieving desired images from databases is a challenging problem, not easily solved by existing database methods. Shape is one popular feature used to automate retrieval of images by content. Example shape features include the Fourier descriptor for describing shape boundaries, and area or compactness for describing shape regions, among others. We present a new shape-representation method based on extracting an image surface ridge-line called the Most Prominent Ridge-Line (MPRL) in scale-space. The MPRL is extracted by minimizing the second spatial derivative orthogonal to the ridge-line direction. The scale of the MPRL point is proportional to the image object's width. Matching query and database image MPRLs is shown to be an effective method for retrieving images based on shape. A unique feature of the proposed method is that the scale dimension may be weighted to allow for any desired amount of shape details in image retrieval.

关键词： image database content-based image retrieval shape representation coarseness scale-space image pyramid topography ridge-line

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Proceedings of SPIE: storage and retrieval for image and video databases VI

Proceedings of SPIE: Storage and Retrieval for Image and Vid...

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storage and retrieval for image and video databases VI

This Volume 3312 of the conference proceedings contains 40 papers. Topics discussed include image retrieval, video representation, video segmentation, intelligent tools, similarity search, image and video authenticati... 详细信息

关键词： Digital image storage

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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...

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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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