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Quantitative measurements of feature indexing for 2D binary images of hexagonal grid for image retrieval

Quantitative measurements of feature indexing for 2D binary ...

引用

storage and retrieval for image and video databases iii

作者： Zheng, Zhi Jie Leung, C. Victoria Univ. of Technology Melbourne VIC Aust

ISBN: (纸本)081941767X

A new feature indexing scheme for binary images is proposed. Using the structures of the conjugate classification of the hexagonal grid, ten intrinsically geometric invariant clusters are identified to partition a binary image into ten feature cluster images. The numbers of feature points in feature images are evaluated. Using the ten integers, a probability model is defined to generate quantitative measurements for feature indexing. This provides intrinsic feature indexing sets for rapid retrieval images based on their contents. Two vectors of twelve probability measurements are used to describe different images in varying sizes and sample pictures and their feature indices are illustrated.

关键词： Indexing (of information)

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image retrieval based on multidimensional feature properties

Image retrieval based on multidimensional feature properties

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storage and retrieval for image and video databases iii

作者： Ang, Yew H. Li, Z. Ong, Sim-Heng Natl. Univ. of Singapore Singapore Singapore

ISBN: (纸本)081941767X

In this paper, multidimensional feature measures of object shapes and feature blobs for retrieval of ceramic artifacts (e.g., plates, vases, and bowls) are proposed. These measures capture the various granularity of image features necessary for representation of complex image objects and their painted designs. Object shape is characterized by region compactness, boundary eccentricity, region moment, and region convexity. High detailed regions are characterized by blob properties such as total blob size, number of blobs, dispersion of blobs, and central moment of blobs. Each set of multiple feature measures jointly forms a 4- dimensional feature vector in a multidimensional feature space. Feature abstraction of complex image details is further improved by the computing feature measurements on sub-resolution images. This allows features of different perceptual scales to be isolated and efficiently abstracted. We have applied our method of image content analysis for retrieval of ceramic artifacts and have shown that multiresolution multidimensional feature measures can adequately retrieve images with high perceptual similarity.

关键词： Information retrieval systems

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Scheme for visual feature-based image indexing

Scheme for visual feature-based image indexing

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storage and retrieval for image and video databases iii

作者： Zhang, HongJiang Zhong, Di Natl. Univ. of Singapore Kent Ridge Singapore

ISBN: (纸本)081941767X

As digital images are progressing into the mainstream of information systems, managing and manipulating them as images becomes an important issue to be resolved before we can take full advantage of their information content. To achieve content-based image indexing and retrieval, there are active research efforts in developing techniques to utilize visual features. On the other hand, without an effective indexing scheme, any visual content based image retrieval approach will lose its effectiveness as the number of features increases. This paper presents our initial work in developing an efficient indexing scheme using artificial neural network, which focuses on eliminating unlikely candidates rather than pin-pointing the targets directly. Experiment results in retrieving images using this scheme from a prototype visual database system are given.

关键词： Indexing (of information)

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引用

storage and retrieval for image and video databases iii

作者： Gudivada, Venkat N. Ohio Univ. Athens OH USA

ISBN: (纸本)081941767X

Similarity based retrieval of images is an important task in multimedia applications. A major class of users queries require retrieving those images in the database that are spatially similar to the query image. To process these queries, a spatial similarity function is desired. A spatial similarity function assesses the degree to which the spatial relationships in a database image conform to those specified in the query image. In this paper, we formalize the notion of spatial similarity for 2D symbolic images and provide a framework for characterizing the robustness of spatial similarity algorithms with respect to their ability to deal with translation, scale, rotation (both perfect and multiple) variants as well as the variants obtained by an arbitrary composition of translation, scale, and rotation. This characterization in turn is useful for comparing various algorithms for spatial similarity systematically. As an example, a few spatial similarity algorithms are characterized and then experimentally contrasted using a testbed of images.

关键词： Information retrieval systems

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image retrieval using image context vectors: first results

Image retrieval using image context vectors: first results

引用

storage and retrieval for image and video databases iii

作者： Gallant, Stephen I. Johnston, Michael F. Belmont Research Inc. Cambridge MA USA

ISBN: (纸本)081941767X

The key question for any image retrieval approach is how to represent the images. We are exploring a new image context vector representation that avoids the need for full image understanding. This representation: (1) is invariant with respect to translation and scaling of (whole) images, (2) is robust with respect to translation, scaling, small rotations, and partial occlusions of objects within images, (3) avoids explicit segmentation into objects, and (4) allows computation of image-query similarity using only about 300 multiplications and additions. A context vector is a high (approximately 300) dimensional vector that can represent images, subimages, or image queries. image context vectors are an extension of previous work in document retrieval where context vectors were used to represent documents, terms, and queries. The image is first represented as a collection of pairs of features. Each feature pair is then transformed into a 300-dimensional context vector that encodes the feature pair and its orientation. All the vectors for pairs are added together to form the context vector for the entire image. retrieval order is determined by taking dot products of image context vectors with a query context vector, a fast operation. Results from a first prototype look promising.

关键词： Information retrieval systems

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Indexing of technical manual document databases

Indexing of technical manual document databases

引用

storage and retrieval for image and video databases iii

作者： Syeda-Mahmood, Tanveer F. Xerox Webster Research Cent. Webster NY USA

ISBN: (纸本)081941767X

Indexing or retrieving information from a database of images in response to a query is an important problem in the on-line maintenance of large volumes of documents depicting images, graphics and text. A key component of image indexing is the selection of image regions that are likely to contain the queried object. In this paper we propose attentional selection as a paradigm for selection during image indexing. Specifically, we present an implementation of a model of attentional selection to perform indexing in the domain of technical manual documents depicting line drawing images of physical equipment. The indexing system developed selects regions containing a 3D machine part in relevant pages of the manual in response to a query describing the part. Model-based object recognition then confirms the presence of the part at that location by solving for the pose of the queried object.

关键词： Database systems

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image indexing using vector quantization

Image indexing using vector quantization

引用

storage and retrieval for image and video databases iii

作者： Idris, Fayez M. Panchanathan, Sethuraman Univ. of Ottawa Ottawa ON Can

ISBN: (纸本)081941767X

Recently, several image indexing techniques have been reported in the literature. However, these techniques require a large amount of off-line processing, additional storage space and may not be applicable to images stored in compressed form. In this paper, we propose two efficient techniques based on vector quantization (VQ) for image indexing. In VQ, the image to be compressed is decomposed into L-dimensional vectors. Each vector is mapped onto one of a finite set (codebook) of reproduction vectors (codewords). The labels of the codewords are used to represent the image. In the first technique, for each codeword in the codebook, a histogram is generated and stored along with the codeword. We note that the superposition of the histograms of the codewords, which are used to represent an image, is a close approximation of the histogram of the image. This histogram is used as an index to store and retrieve the image. In the second technique, the histogram of the labels of an image is used as an in index to access the image. The proposed techniques provide fast access to the images in the database, have lower storage requirements and combine image compression with image indexing. Simulation results confirm the gains of the proposed techniques in comparison with other techniques reported in the literature.

关键词： Indexing (of information)

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Net comparison: a fast and effective method for classifying image sequences

Net comparison: a fast and effective method for classifying ...

引用

storage and retrieval for image and video databases iii

作者： Wei, Xiong Lee, John C. Ip, Man-Ching Hong Kong Univ. of Science and Technology Kowloon Hong Kong

ISBN: (纸本)081941767X

As video information proliferates, managing video sources becomes increasingly important. Automatic video partitioning is a prerequisite for organizing and indexing video sources. Several methods have been introduced to tackle this problem, e.g., pairwise and histogram comparisons. Each has advantages, but all are slow because they entail inspection of entire images. Furthermore none of these methods have been able to define camera break and gradual transition, which are basic concepts for partitioning. In this paper, we attempt to define camera break. Then, based on our definition and probability analysis, we propose a new video partitioning algorithm, called NET Comparison (NC), which compares the pixels along predefined net lines. In this way, only part of the image is inspected during classification. We compare the effectiveness of our method with other algorithms such as pairwise, likelihood and histogram comparisons, evaluating them on the basis of a large set of varied image sequences that include camera movements, zooming, moving objects, deformed objects and video with degraded image quality. Both gray-level and HSV images were tested and our method out-performed existing approaches in speed and accuracy. On average, our method processes images two to three times faster than the best existing approach.

关键词： video signal processing

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image PROCESSING FOR INDEXING OF CINEANGIOGRAMS

IMAGE PROCESSING FOR INDEXING OF CINEANGIOGRAMS

引用

conference on image Processing - Medical Imaging 1995

作者： LIU, HCH ZICK, GL SHEEHAN, FH UNIV WASHINGTON SCH MEDDEPT ELECT ENGNSEATTLEWA 98195

ISBN: (纸本)0819417823

video is the primary media used for cardiology diagnosis. video data is currently stored on either cinefilm or videotape and provides no means of integration with other information such as patient's history, x-ray images, and test results. Maintaining and searching this data is also difficult. A multimedia database system would significantly enhance the diagnosis process by facilitating these integration, maintenance, and searching processes. One of the challenges in designing such a database is indexing the sequential video streams. The required storage space and the retrieval time to one specific video frame are two crucial issues in the design of a video database system. This paper presents two novel and fast image processing techniques for use in the selection of video frames. These selected frames can then be stored in the database. The first type of analysis is based on the analysis of spatial transitions and the second is based on the spectral components in the discrete cosine domain. The proposed techniques extract the length of the total edges in every frame of the cineangiogram. The extracted parameter is directly related to the amount of radio opaque dye injected in the coronary arteries. Those frames in the cineangiogram with a significant level of dye are then identified and indexed for evaluation. The extracted parameter index is used to select these frames for physician review. The same techniques are applied to the centered window of every frame to extract the cardiac cycles in the cineangiogram. This information can be used to index the stored cineangiogram for fast retrieval. It can also be used to synchronize two cineangiograms playing at the same time for clinical comparison and evaluation. Both techniques have been applied to twenty-one sets of cineangiograms. The results are very consistent with physician observation. Since both techniques produce comparable result, the selection between them is dependent on the format of the video. The second

关键词： video databases Arteries Angiography video compression Cardiology X-rays Heart Edge detection image processing

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Super high definition imaging system in ATM network

Super high definition imaging system in ATM network

引用

Fifth International conference on image Processing and its Applications, 1995.

作者： R. Suzuki O. Tanno A. Kunimi M. Koshiji K. Kato T. Murakami Mitsubishi Electric Corporation Limited Japan

Presents a multi-point communication system in which a super high definition (SHD) image server and image database are installed in a broad-band network. This system allows display of SHD motion or still images, storage of 256 SHD images on local RAM, sharing SHD images with different points linked via FDDI or ATM-LAN networks, and retrieval of SHD images from the database (DB) via networks. SHD image digitizing devices are also implemented in the system. This system will be available for several applications such as remote diagnosis, telepathology, clinical lectures, remote editing and printing, plant surveillance, CSCW (computer supported cooperative work) for designing, remote education, electronic museums, and electronic catalogues.< >

关键词： Asynchronous transfer mode Broadband communication Digital communication DRAM chips Information retrieval Local area networks Network servers video signal processing image communication image databases

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