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IEEE Workshop on Content-Based Access of image and video Libraries (CBAIVL)

作者： Jau-Yuen Chen C. Taskiran E.J. Delp C.A. Bouman Electronic Imaging Systems Laboratory EISLVideo and Image Processing Laboratory VIPER School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

video Browsing Environment (ViBE) is a unique browseable/searchable paradigm for organizing video databases containing a large number of sequences. The system first segments video sequences into shots by using the generalized trace obtained from the DC-sequence of the compressed data stream. Each video shot is then represented by a hierarchical tree structure of key frames, and the shots are automatically classified into predetermined pseudo-semantic classes. Finally, the results are presented to the user in an active browsing environment using a similarity pyramid data structure. The similarity pyramid allows the user to view the video database at various levels of detail. The user can also define semantic classes and reorganize the browsing environment based on relevance feedback.

关键词： video compression image databases video sequences Streaming media Laboratories Feedback Layout Labeling image processing Data engineering

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video scene change detection using the generalized sequence trace

Video scene change detection using the generalized sequence ...

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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： C. Taskiran E.J. Delp Sch. of Electr. & Comput. Eng. Purdue Univ. West Lafayette IN USA Video and Image Processing Laboratory (VZPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

We propose an algorithm to detect scene changes in a video sequence in the compressed domain. We define a feature vector extracted from each frame that we call the generalized trace. We examine various ways of process... 详细信息

关键词： Layout video compression Streaming media Data mining Gunshot detection systems Histograms Discrete cosine transforms video sequences image coding Feature extraction

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A Region-Based Representation of images in MARS

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Journal of VLSI Signal processing Systems for Signal, image, and video Technology 1998年第1-2期20卷 137-150页

作者： Servetto, Sergio D. Rui, Yong Ramchandran, Kannan Huang, Thomas S. Beckman Inst. Adv. Sci. and Technol. Univ. Illinois at Urbana-Champaign Urbana IL 61801 United States Universidad Nacional de La Plata Argentina Univ. Illinois at Urbana-Champaign United States Comp. Res. Adv. Applications Group IBM Argentina Argentina Image Formation and Processing Group Beckman Institute UIUC United States Department of Computer Science UNLP Argentina Dept. of Elec. and Comp. Engineering UIUC United States Multimedia Commun. Res. Department Bell Laboratories Murray Hill NJ United States Info. Sciences Research Department AT and T Labs. Florham Park NJ United States Department of Computer Science UIUC United States Southeast University China Tsinghua University China University of Illinois Urbana-Champaign IL United States Image Formation and Processing Group Beckman Inst. Advance Sci. Technol. UIUC United States Vis. Technol. Grp. of Microsoft Res. Redmond WA United States City College of New York United States Columbia University United States AT and T Bell Labs. United States Ctr. for Telecommunications Research Columbia University United States Elec. and Comp. Eng. Department United States Beckman Institute Coordinated Science Laboratory IL United States IEEE Signal Processing Society United States IEEE IMDSP Technical Committee United States IEEE Transactions on Image Proc. United States National Taiwan University Taipei Taiwan Massachusetts Inst. of Technology Cambridge MA United States Department of Electrical Engineering MIT United States School of Electrical Engineering United States Lab. for Info. and Signal Processing Purdue University United States Dept. of Elec. and Comp. Engineering United States Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Inst. Adv. Sci. and Technol. United States MIT Lincoln Laboratory IBM Thomas J. Watson Research Center Rheinishes Landes Museum Bonn Germany Swiss Institutes of Technology Zurich Switzerland Swiss Institutes of Technology Lausanne S

We study the problem of representing images within a multimedia Database Management System (DBMS), in order to support fast retrieval operations without compromising storage efficiency. To achieve this goal, we propose new image coding techniques which combine a wavelet representation, embedded coding of the wavelet coefficients, and segmentation of image-domain regions in the wavelet domain. A bitstream is generated in which each image region is encoded independently of other regions, without having to explicitly store information describing the regions. Simulation results show that our proposed algorithms achieve coding performance which compares favorably, both perceptually and objectively, to that achieved using state-of-the-art image/video coding techniques while additionally providing region-based support.

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Color image compression using an embedded rate scalable approach

Color image compression using an embedded rate scalable appr...

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IEEE International Conference on image processing

作者： K. Shen E.J. Delp Video and Image Processing Laboratory School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

In this paper we propose a wavelet based coding algorithm for color images using a luminance/chrominance color space. Data rate scalability is achieved by using an embedded coding scheme, which is similar to Shapiro's (1993) embedded zerotree wavelet (EZW) algorithm. In a luminance/chrominance color space, the three color components have little statistical correlation. However, observations are made that at the spatial locations where chrominance signals have large transitions, it is highly likely for the luminance signal to have large transitions. This interdependence between the color components is exploited in the algorithm.

关键词： Color image coding Pixel Streaming media Scalability Wavelet transforms video compression image processing Laboratories Embedded computing

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Multiresolution detection of stellate lesions in mammograms

Multiresolution detection of stellate lesions in mammograms

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IEEE International Conference on image processing

作者： Sheng Liu E.J. Delp Video and Image Processing Laboratory VIPER School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

Presents a new multiresolution scheme for the detection of stellate lesions in digital mammograms. First, a multiresolution representation of the original mammogram is obtained using a linear phase nonseparable 2-D wavelet transform. A set of features are then extracted at each resolution for every pixel. This addresses the difficulty of predetermining the neighborhood size for feature extraction to characterize objects that may appear with different sizes. Detection is performed from the coarsest resolution to the finest resolution using binary tree classifiers. This top-down approach requires less computation by starting with the least amount of data and propagating detection results to finer resolutions. Experimental results on the MIAS image database have shown that this algorithm is capable of detecting stellate lesions of very different sizes.

关键词： Lesions Feature extraction Wavelet transforms Binary trees Classification tree analysis image databases

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A fast suboptimal approach to error concealment in encoded video streams

A fast suboptimal approach to error concealment in encoded v...

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IEEE International Conference on image processing

作者： P. Salama N. Shroff E.J. Delp Video and Image Processing Laboratory VIPER School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

In ATM networks cell loss or channel errors can cause data to be dropped in the channel. When digital video is transmitted over these networks one must be able to reconstruct the missing data so that the impact of these errors is minimized. In this paper we describe a Bayesian approach to concealing these errors by post-processing the received data. In a previous paper (see IEEE Proc. Int. Conf. on image processing p.49-52, 1996), each frame in the sequence was modeled as a Markov random field, and maximum a posteriori estimates of the missing macroblocks were obtained. However, the maximum a posteriori estimate is not unique, and the algorithm is also computationally intensive. In this paper we demonstrate, that by using median filtering we arrive at a suboptimal estimate. This will allow real-time nearly optimal reconstruction of the missing data.

关键词： image reconstruction Maximum a posteriori estimation Bayesian methods image processing Markov random fields Filtering

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A spatialoral parallel approach for real-time MPEG video compression 25

A spatialoral parallel approach for real-time MPEG video com...

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25th International Conference on Parallel processing, ICPP 1996

作者： Shen, Ke Delp, E.J. Purdue University School of Electrical Engineering Computer Vision and Image Processing Laboratory West LafayetteIN United States Purdue Multimedia Testbed West LafayetteIN47907-1285 United States

ISBN: (纸本)081867623X

We present a parallel implementation of an MPEG encoder on the Intel Paragon supercomputer. In our approach, both spatial and temporal parallelism have been exploited, While the Paragon has the computation capacity to encode video sequences faster than real-time, we found that real-time performance cannot be achieved if the input/output techniques are not designed properly. We present several schemes for managing the I/O and show their effect on reducing I/O contention. © 1996 IEEE.

关键词： Supercomputers

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The EM/MPM algorithm for segmentation of textured images: analysis and further experimental results

The EM/MPM algorithm for segmentation of textured images: an...

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IEEE International Conference on image processing

作者： M.L. Comer E.J. Delp Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

In this paper we present new results relative to the "expectation-maximization/maximization of the posterior marginals" (EM/MPM) algorithm for simultaneous parameter estimation and segmentation of textured images. The goal of the EM/MPM algorithm is to minimize the expected value of the number of misclassified pixels. We present new theoretical results in this paper which show that the algorithm can be expected to achieve this goal, to the extent that the EM estimates of the model parameters are close to the true values of the model parameters. We also present new experimental results demonstrating the performance of the algorithm.

关键词： image segmentation image analysis image texture analysis Algorithm design and analysis Parameter estimation Pixel Stochastic processes computer vision image processing

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A watermark for digital images

A watermark for digital images

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IEEE International Conference on image processing

作者： R.B. Wolfgang E.J. Delp Computer Vision and Image Processing Laboratory Purdue Multimedia Testbed Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

The growth of networked multimedia systems has magnified the need for image copyright protection. One approach used to address this problem is to add an invisible structure to an image that can be used to seal or mark it. These structures are known as digital watermarks. We describe two techniques for the invisible marking of images. We analyze the robustness of the watermarks with respect to linear and nonlinear filtering, and JPEG compression. The results show that our watermarks detect all but the most minute changes to the image.

关键词： Watermarking Digital images Multimedia systems Copyright protection Seals Robustness Nonlinear filters Filtering Transform coding image coding

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A Bayesian approach to error concealment in encoded video streams

A Bayesian approach to error concealment in encoded video st...

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IEEE International Conference on image processing

作者： P. Salama N. Shroff E.J. Delp Computer Vision and Image Processing Laboratory Purdue Multimedia Testbed Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA Purdue University System West Lafayette IN US

In ATM networks cell loss causes data to be dropped in the channel. When digital video is transmitted over these networks one must be able to reconstruct the missing data so that the impact of these errors is minimized. In this paper we describe a Bayesian approach to conceal these errors. Assuming that the digital video has been encoded using the MPEG1 or MPEG2 compression scheme, each frame is modeled as a Markov random field. A maximum a posteriori estimate of the missing macroblocks and motion vectors is described based on the model.

关键词： Bayesian methods Streaming media Intelligent networks Laboratories Markov random fields video sequences Interpolation image reconstruction Motion estimation computer errors

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