We describe the Photobook system, which is a set of interactive tools for browsing and searching images and image sequences. These tools differ from those used in standard imagedatabases in that they make direct use ...
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ISBN:
(纸本)0819414808
We describe the Photobook system, which is a set of interactive tools for browsing and searching images and image sequences. These tools differ from those used in standard imagedatabases in that they make direct use of the image content rather than relying on annotations. Direct search on image content is made possible by use of semantics-preserving image compression, which reduces images to a small set of perceptually-significant coefficients. We describe three Photobook tools in particular: one that allows search based on grey-level appearance, one that uses 2D shape, and a third that allows search based on textural properties.
Visual query programs are an effective tool for searching large collection of images. Unlike most programs of this type that rely on text to access categories of images, IBM's QBIC software will search for images ...
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ISBN:
(纸本)0819414808
Visual query programs are an effective tool for searching large collection of images. Unlike most programs of this type that rely on text to access categories of images, IBM's QBIC software will search for images based on what they look like. This is of value in situations where the content of an image is not described in the text catalog or when the user is seeking relational images. The Art and Art History Department at the University of California, Davis is using QBIC to determine what role it may play in retrieval of fine art images. This paper describes the department's construction of a pilot database and presents preliminary findings.
Academic and photo libraries require the reuse of images. If the database is large, similarity retrieval and retrieval by sketch are effective. However, similarity retrieval can retrieve images that are similar to onl...
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ISBN:
(纸本)0819414808
Academic and photo libraries require the reuse of images. If the database is large, similarity retrieval and retrieval by sketch are effective. However, similarity retrieval can retrieve images that are similar to only one key image. retrieval by sketch can retrieve images that are similar to the sketch, but it is not always easy to make a sketch sufficiently similar to the desired image. To overcome these limitations, we propose a new flexible montage retrieval method (FMR) that allows the user to retrieve images by appropriately combining characteristics of the key images in the same way that a montage picture of a criminal is constructed. In FMR, the user selects one or more key images and specifies areas (called `key regions') manually or by using image manipulating tools. He then indicates the retrieval conditions, for example, the requirement that the image to be retrieved includes specified areas. This paper describes an FMR algorithm that uses a color histogram and texture to quantify the similarity between a key region and an image in the database. The effectiveness of FMR is then statistically demonstrated by comparing its correct retrieval rate with that of retrieval by sketch. The retrieval rate is calculated from the result of retrieving the images that include a specified sky image from among more than 150 images containing various sky images.
A highly integrated wavelet-based image management system is proposed. Three solutions for key aspect of image management are derived: content-based imageretrieval (CBIR); image compression/decompression; and image t...
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A highly integrated wavelet-based image management system is proposed. Three solutions for key aspect of image management are derived: content-based imageretrieval (CBIR); image compression/decompression; and image transmission. By exploring the excellent features of wavelet, integrating key aspect of image management, the system shows a high overall performance.
This paper describes the retrieval process from imagedatabases, based on a partial match between the query and the images. The proposed approach allows to measure the similarity between the query and the images in th...
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ISBN:
(纸本)0819414808
This paper describes the retrieval process from imagedatabases, based on a partial match between the query and the images. The proposed approach allows to measure the similarity between the query and the images in the database and to retrieve those having the highest probability to be relevant. The paper describes the query processing and the access structures, based on the `signature method'. Four levels of signature files are associated to the image database and a signature is associated to the query. The query signature is compared with the image signatures in a four step image processing algorithm. The result of the process is a set of images with an associated recognition degree, measured by using information provided by the user during query formulation (such as importance of the presence of each object) and by using the image structure and the recognition degree associated to each object. The retrieved images are presented to the user in decreasing relevance order. The method described so far is inefficient, since the selection of most relevant images is executed among all relevant images (even those having a low relevance). The paper presents two approaches for improving the efficiency of query processing by (a) reducing the number of accesses to the image Database and (b) by reducing the number of accesses to the signature file. The two approaches are discussed in detail in the paper. The advantages and drawbacks of each method are illustrated.
Enabling the efficient storage, access and retrieval of large volumes of multi-dimensional data is one of the important emerging problems in databases. We present a framework for adaptively storing, accessing, and ret...
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Enabling the efficient storage, access and retrieval of large volumes of multi-dimensional data is one of the important emerging problems in databases. We present a framework for adaptively storing, accessing, and retrieving large images. The framework uses a space and frequency graph to generate and select image view elements for storing in the database. By adapting to user access patterns, the system selects and stores those view elements that yield the lowest average cost for accessing the multi-resolution sub-region image views. The system uses a second adaptation strategy to divide computation between server and client in progressive retrieval of image views using view elements. We show that the system speeds-up retrieval for access and retrieval modes such as drill-down browsing and remote zooming and panning and minimizes the amount of data transfer over the network.
The aim of this report is to be controversial and to engage a debate within the research community. Issues of whether some of the work in image and videodatabases has been directed at solutions in search of a problem...
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The aim of this report is to be controversial and to engage a debate within the research community. Issues of whether some of the work in image and videodatabases has been directed at solutions in search of a problem are discussed. Important applications in the area of media-based digital libraries that will enhance human experience are also detailed.
The main aim of this paper is to describe a method for locating a subimage of a stored image that approximately matches a given query image. This matching can support naive users in accessing an image database accordi...
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ISBN:
(纸本)0819414808
The main aim of this paper is to describe a method for locating a subimage of a stored image that approximately matches a given query image. This matching can support naive users in accessing an image database according to image contents rather symbolic attributes. The query image can be either composed using painting tools or cuts out of an actual scanned image. Our method is based on the extraction of features from the query image and from the stored images. The following three steps are involved: (1) an ISODATA algorithm is applied to segment (into region) both the query image and the stored images; (2) the normalized moment and geometrical features are computed from the segmented regions, and (3) a matching process is run on the resulting features to find those stored images which should be retrieved. The result is an ordered list of stored images or subimages from the database.
The design of a distributed video-on-demand system that is suitable for large video libraries is described. The system is designed to store 1000s of hours of video material on tertiary storage devices. A video that a ...
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Multimedia data are generally stored in compressed form in order to efficiently utilize the available storage facilities. Access to multimedia archives is thus dependent on our ability to browse compressed information...
Multimedia data are generally stored in compressed form in order to efficiently utilize the available storage facilities. Access to multimedia archives is thus dependent on our ability to browse compressed information. In this paper, a novel approach to multiple object tracking from compressed multimedia databases is presented. This approach is intended to operate in a distributed environment, where users initiate video searches and retrieve relevant video information simultaneously From multiple compressed video archives. The system operates on the compressed video to find and track objects of interest and determine their positions in the image. This enables more complex query formulations in terms of the relative positions of the target objects in the image. The filtering and analysis of motion information (motion vectors) is used to track objects in the video bit stream. Once the search has terminated. the system may decompress and display the query-relevant video sequences upon request. (C) 2000 Academic Press.
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