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Storage and retrieval of compressed images using wavelet vector quantization

JOURNAL OF visual LANGUAGES AND computing 1997年第3期8卷 289-301页

作者： Idris, F Panchanathan, S Visual Computing and Communications Laboratory Department of Electrical Engineering University of Ottawa Ottawa Ont. Canada K1N 6N5[f1]

Multimedia information systems require efficient storage of and access to the images in a database. Recently, several image indexing techniques have been reported in the literature. Although these techniques combine image compression and image indexing, additional computational and storage costs are required to compute and store the indices. In this paper, we propose a new technique based on wavelet vector quantization for the storage and retrieval of compressed images. Here, the images are first decomposed using wavelet transform followed by vector quantization of the transform coefficients. We note that similar images map to similar codewords. Hence, the labels corresponding to a wavelet-vector-quantized image constitute a feature Vector which is used as an index to store and retrieve the image. In addition, the lowest-resolution subimage resulting from the wavelet decomposition serves as a visual icon for browsing purposes. We note that the index is generated at compression time and, hence, the proposed technique eliminates the need for a separate structure to store the indices. This increases the storage efficiency and provides fast access to the compressed images in the database. (C) 1997 Academic Press Limited.

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Reconfigurable media processing

Reconfigurable media processing

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International Conference on Information Technology: Coding and computing (ITCC)

作者： A. Dasu S. Panchanathan Visual Computing and Communications Laboratory Arizona State University USA

ISBN: (纸本)0769510620

Multimedia processing is becoming increasingly important with a range of applications. Existing approaches for processing multimedia data can be broadly classified into two categories, namely: (i) microprocessors with extended media processing capabilities; and (ii) dedicated implementations (ASICs). The complexity, variety of techniques and tools associated with multimedia processing points to the opportunities for reconfigurable computing devices which will be able to adapt the underlying hardware dynamically in response to changes in the input data or processing environment. The paper proposes a novel approach to design a dynamically reconfigurable processor by performing hardware software co-design for a media processing application. As an example, the analysis of the shape coding module of MPEG-4 is chosen to demonstrate the potential for reconfigurability.

关键词： Hardware Graphics Microprocessors Multimedia computing Video compression Transform coding Application software MPEG 4 Standard Animation Speech analysis

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Architectural approaches for multimedia processing: (Invited paper) 4th

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4th International ACPC Conference on Parallel Computation, ACPC 1999

作者： Panchanathan, Sethuraman Panch Visual Computing and Communications Laboratory Department of Computer Science and Engineering Arizona State University P.O. Box 875406 TempeAZ85287-5406 United States

ISBN: (纸本)3540656413

The recent advances in VLSI technology, high-speed processor designs, Internet/Intranet implementations, broadband networks (ATM and ISDN) and compression standards (JPEG, MPEG, H.261, H.263 and G.273) are leading to the popularity of multimedia applications. Examples include, video over the internet, interactive TV, distance learning, telemedicine, and digital libraries. Multimedia refers to a combination of various media types including text, audio, 2D and 3D graphics, animation, images and video. visual media (image, video and graphics) proliferation in multimedia applications demands high-powered compute engines, large storage devices, and high bandwidth networks for processing, storage, and transport of image/video data. visual media processing poses challenges from several perspectives, specifically from the points of view of real-time implementation and scalability. There has been several approaches to obtain speedups to meet the computing demands in multimedia processing ranging from media processors to special purpose implementations. Note that a variety of parallel processing strategies are adopted in these implementations in order to achieve the required speedups. The objective of this paper to present a summary of the various architectural alternatives that exist for multimedia processing. © Springer-Verlag Berlin Heidelberg 1999.

关键词： Intranets

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Face detection from color images by iterative thresholding on skin probability maps

Face detection from color images by iterative thresholding o...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： M. Gargesha S. Panchanathan Visual Computing and Communications Laboratory Arizona State University Tempe AZ USA

In this paper, we present a technique for face detection from color images, which utilizes facial geometry and iterative thresholding of skin probability maps to determine candidate face regions in an image. The actual face regions are determined by a fast and efficient eye locator technique that employs symmetry analysis along with luminance, chrominance and curvature information. Iterative thresholding makes the technique tolerant to variations in illumination and background. The facial geometry analysis and eye locator techniques are tolerant to scale variations of faces. Experimental results demonstrate the superiority of the proposed technique to a standard PCA (principal components analysis)-based technique, in the presence of scale and illumination variations.

关键词： Face detection Skin Image segmentation Information geometry Lighting Image analysis Principal component analysis Robustness Image color analysis Iterative algorithms

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Scalable video coding using H.263

Scalable video coding using H.263

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Canadian Conference on Electrical and Computer Engineering (CCECE)

作者： Yuen-Pang Ko S. Panchanathan Visual Computing and Communications Laboratory VCCL Department of Electrical and Computer Engineering University of Ottawa Ottawa ONT Canada Visual Computing and Communications Laboratory VCCLDepartment of Electrical and Computer Engineering University of Ottawa Ottawa ONT Canada

Scalable video compression is very useful for multimedia communications and other applications such as video browsing and interactive TV. In this paper, we have proposed a scalable algorithm for the H.263 coder which makes possible the generation of a multiple rate video stream from a single compressed H.263 video stream. The proposed algorithm has comparable performance at lower bit rates and a superior performance at higher bit rates.

关键词： Video coding Video compression Bit rate Videoconference Scalability Streaming media Transform coding Discrete cosine transforms Multimedia communication TV

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VLSI implementation of discrete wavelet transform

VLSI implementation of discrete wavelet transform

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Canadian Conference on Electrical and Computer Engineering (CCECE)

作者： A. Grzeszczak T.H. Yeap S. Panchanathan Visual Computing and Communications Laboratory Department of Electrical Engineering University of Ottawa Ottawa ONT Canada

This paper presents a VLSI implementation of discrete wavelet transform (DWT). The architecture is systolic in nature and performs both high-pass and low-pass coefficient calculations with only one set of multipliers. The architecture is simple, modular, and cascadable, and has been implemented in VLSI. Simulation results show that real-time coefficient calculation on a 512/spl times/612 pixels monochrome video input can be achieved.

关键词： Discrete wavelet transforms Very large scale integration Equations Discrete cosine transforms Image coding Computer architecture Wavelet transforms Finite impulse response filter Video compression Image reconstruction

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Predictive vector quantization using neural networks

Predictive vector quantization using neural networks

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Canadian Conference on Electrical and Computer Engineering (CCECE)

作者： M.R. Hashemi T.H. Yeap S. Panchanathan Visual Computing and Communications Laboratory Department of Electrical Engineering University of Ottawa Ottawa ONT Canada

Proposes a new predicative vector quantization (PVQ) technique for image and video compression. This technique has been implemented using neural networks. A Kohonen self organized feature map is used to implement the vector quantizer, while a multilayer perceptron implements the predictor. The proposed technique provides a superior coding performance.

关键词： Vector quantization Neural networks Image coding Image reconstruction Transmitters Image storage Pulse modulation Speech Computer networks Laboratories

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A scene change detection algorithm for MPEG compressed video sequences

A scene change detection algorithm for MPEG compressed video...

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Canadian Conference on Electrical and Computer Engineering (CCECE)

作者： K. Tse J. Wei S. Panchanathan Visual Computing and Communications Laboratory Department of Electrical Engineering University of Ottawa Ottawa ONT Canada

Video is an important and challenging medium and requires sophisticated indexing schemes for efficient retrieval from visual databases. An important step in video indexing is scene change detection. Recently, several scene change detection algorithms in the pixel and compressed (MPEG-2) domains have been reported in the literature. These algorithms are computationally complex and are not very robust in detecting gradual scene changes. The authors propose an efficient technique for detecting scene changes in the MPEG-2 compressed domain. The proposed algorithm has the advantage of fast scene change detection. In addition, this algorithm has the potential to detect gradual scene changes.

关键词： Layout Detection algorithms Transform coding Video sequences Change detection algorithms Histograms Video compression Indexing Information retrieval Laboratories

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Scene change detection in MPEG domain

Scene change detection in MPEG domain

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IEEE Southwest Symposium on Image Analysis and Interpretation

作者： N. Gamaz X. Huang S. Panchanathan Visual Computing and Communications Laboratory Department of Electrical Engineering University of Ottawa Ottawa ONT Canada

Video is an important and challenging media and requires sophisticated indexing schemes for efficient retrieval from visual databases. Video segmentation is a fundamental step in video indexing and involves detection of scene changes. In this paper, we propose a fast and robust algorithm for detecting video shot boundaries in the MPEG-2 compressed bitstream with minimal decoding.

关键词： Layout Video compression Indexing Information retrieval visual databases Robustness Change detection algorithms Gunshot detection systems Transform coding Decoding

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COLOR SCALABILITY USING JPEG STANDARD

COLOR SCALABILITY USING JPEG STANDARD

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IEEE International Conference on Consumer Electronics (ICCE)

作者： N. Gamaz S. Panchanathan Visual Computing and Communications Laboratory Department of Electrical Engineering University of Ottawa Ottawa ONT Canada

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