The proceedings contain 22 papers. The topics discussed include: retrieving images by 2D shape: a comparison of computation methods with human perceptual judgments;bounds for the discrimination power of color indexing...
The proceedings contain 22 papers. The topics discussed include: retrieving images by 2D shape: a comparison of computation methods with human perceptual judgments;bounds for the discrimination power of color indexing techniques;photobook: tools for content-based manipulation of imagedatabases;efficient content-based retrieval in imagedatabases: a probabilistic approach;comparison of subband features for automatic indexing of scientific imagedatabases;and development of object-oriented multimedia database and its application to retrieval of maintenance parts.
Computer-assisted content-based indexing is a critical enabling technology and currently a bottleneck in productive use of video resources. This paper presents the video Classification Project, an effort toward automa...
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ISBN:
(纸本)0819414808
Computer-assisted content-based indexing is a critical enabling technology and currently a bottleneck in productive use of video resources. This paper presents the video Classification Project, an effort toward automating content-based video indexing and retrieval, at the Institute of Systems Science of the National University of Singapore. We discuss in detail three goals of the project: image processing tools for video parsing, feature extraction and retrieval; a knowledge-based approach to representing video content; and stratified tools which allow greater flexibility in browsing a video resource, either before or after performing specific retrieval operations.
video-on-Demand systems have received a good deal of attention recently. Few studies, however, have addressed the problem of locating a video of interest in a large video database. This paper describes the design and ...
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ISBN:
(纸本)0819414808
video-on-Demand systems have received a good deal of attention recently. Few studies, however, have addressed the problem of locating a video of interest in a large video database. This paper describes the design and implementation of a metadata database and query interface that attempts to solve this information retrieval problem.
A rotation, translation, and scaling (RTS) invariant color image indexing technique for imaging database systems is described. To demonstrate the RTS property of the imageretrieval, four databases are experimented in...
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A rotation, translation, and scaling (RTS) invariant color image indexing technique for imaging database systems is described. To demonstrate the RTS property of the imageretrieval, four databases are experimented in the computer simulation of the algorithm. The proposed technique is found to be unaffected by substantial changes in the database images due to rotation, translation, and scaling. This makes the technique very robust and attractive for a number of applications of the imagestorage and retrieval systems.
In this paper, we present topics related to tracking of video objects in compressed videodatabases in the context of videoretrieval applications. We developed a videoretrieval and tracking system (VORTEX) to enable...
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In this paper, we present topics related to tracking of video objects in compressed videodatabases in the context of videoretrieval applications. We developed a videoretrieval 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.
In content based imageretrieval, systems allow users to ask for objects similar in shape to a query object. However, there is no clear understanding of how computational shape similarity corresponds to human shape si...
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ISBN:
(纸本)0819414808
In content based imageretrieval, systems allow users to ask for objects similar in shape to a query object. However, there is no clear understanding of how computational shape similarity corresponds to human shape similarity. In this paper several shape similarity measures were evaluated on planar, connected, non-occluded binary shapes. Shape similarity using algebraic moments, spline curve distances, cumulative turning angle, signal of curvature and Hausdorff- distance were compared to human similarity judgments on twenty test shapes against a large image database.
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...
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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 imageretrieval system was build. 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 imageretrieval.
A scheme that reduces the needed storage considerably without reducing the retrieval effectiveness of a content-based imageretrieval (CBIR) system such as ASSERT is introduced. This scheme enables ASSERT to retrieve ...
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A scheme that reduces the needed storage considerably without reducing the retrieval effectiveness of a content-based imageretrieval (CBIR) system such as ASSERT is introduced. This scheme enables ASSERT to retrieve the most similar physician-marked key images from the other patients, and those adjacent images that cohere with the key images. Only the key images and the other images that cohere with the key images are retained for archival purposes. This significantly reduces the amount of storage needed for fast retrieval.
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