The Experts below are selected from a list of 189 Experts worldwide ranked by ideXlab platform

David Taubman - One of the best experts on this subject based on the ideXlab platform.

  • Embedded Coding of optical flow fields for scalable video compression
    Multimedia Signal Processing, 2014
    Co-Authors: Sean I Young, Reji Mathew, David Taubman
    Abstract:

    An Embedded Coding scheme for dense motion (optical flow) fields is proposed. Such a scheme is particularly useful in scalable video compression where one must compensate for inter-frame motion at various visual qualities and resolutions. However, the high cost of Coding such fields has often made this option prohibitive. Using our previously developed ‘breakpoint’-adaptive wavelet transform, we show that it is possible to code dense motion fields efficiently while simultaneously endowing the coded motion representation with Embedded resolution and quality scalability attributes. Performance comparisons with the traditional non-scalable block-based model are also made and presented with the aid of a modified H.264/AVC JM reference encoder.

  • MMSP - Embedded Coding of optical flow fields for scalable video compression
    2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP), 2014
    Co-Authors: Sean I Young, Reji Mathew, David Taubman
    Abstract:

    An Embedded Coding scheme for dense motion (optical flow) fields is proposed. Such a scheme is particularly useful in scalable video compression where one must compensate for inter-frame motion at various visual qualities and resolutions. However, the high cost of Coding such fields has often made this option prohibitive. Using our previously developed ‘breakpoint’-adaptive wavelet transform, we show that it is possible to code dense motion fields efficiently while simultaneously endowing the coded motion representation with Embedded resolution and quality scalability attributes. Performance comparisons with the traditional non-scalable block-based model are also made and presented with the aid of a modified H.264/AVC JM reference encoder.

  • transform and Embedded Coding techniques for maximum efficiency and random accessibility in 3 d scalable compression
    IEEE Transactions on Image Processing, 2005
    Co-Authors: R Leung, David Taubman
    Abstract:

    This study investigates random accessibility and efficiency enhancements in highly scalable video and volumetric compression. With the advent of interactive multimedia technology, random accessibility has emerged as an increasingly important consideration in the design and optimization process. In this paper, we assess the impact that the transform, Embedded Coding components, and code-block configurations have on the compression efficiency and accessibility of a scalable codestream. We develop performance bounds on techniques which exploit temporal redundancy within the confines of a feed-forward compression system. We also examine their random access properties to argue the significance of motion-adaptive subband transforms. When information-theoretic measures are used to determine the potential benefits of three-dimensional (3-D) context Coding, we find that most of the Coding gain is attributed to code-block extension, rather than interslice context modeling itself. To gain further insight into the tradeoffs that the Coding part has to offer, we run a series of simulations to determine code-block partitioning strategies which maximize reconstruction quality and space-time localization. The LIMAT framework and EBCOT Coding paradigm have laid a solid foundation for further progress in the development of highly scalable 3-D compression systems.

James E. Fowler - One of the best experts on this subject based on the ideXlab platform.

  • ICIP - Wavelet-based Coding of three-dimensional oceanographic images around land masses
    Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2020
    Co-Authors: James E. Fowler
    Abstract:

    We describe an algorithm for the Embedded Coding of 3D oceanographic images. These images differ from those arising in other applications in that valid data exist only at grid points corresponding to the sea; grid points that cover land or lie beyond the bathymetry have no associated data. For these images, we employ a 3D lifting wavelet transform tailored specifically to the potentially sparse nature of the data by processing only the valid sea data points in between land masses. In addition, we introduce successive-approximation runlength (SARL) Coding, an Embedded-Coding procedure which adds successive-approximation properties to the well known stack-run (SR) algorithm. SARL is a general technique applicable to the oceanographic images considered here as well as to other Coding tasks in which Embedded Coding is desired but for which zerotree-techniques are impractical.

  • Shape-Adaptive Embedded Coding of Ocean-Temperature Imagery
    2006 Fortieth Asilomar Conference on Signals Systems and Computers, 2006
    Co-Authors: Justin T. Rucker, James E. Fowler
    Abstract:

    An Embedded wavelet-based coder for the shape-adaptive Coding of ocean-temperature data is described. The proposed coder, 3D binary set splitting with k-A trees (3D-BISK), is based upon the popular bitplane-Coding paradigm and is specifically designed for shape-adaptive Coding. Other similar Coding methods use octree-based set partitioning; however, 3D-BISK employs a simpler set decomposition based on k-A trees which makes it more flexible when considering shape-adaptive Coding. The performance of 3D-BISK is compared to prominent shape-adaptive coders and superior performance is demonstrated for a variety of ocean-temperature datasets.

  • DCC - Joint Embedded Coding of data and grid using first-generation wavelet transforms
    Proceedings DCC 2002. Data Compression Conference, 2002
    Co-Authors: James E. Fowler, Y. Wang
    Abstract:

    Many applications in a variety of scientific domains produce datasets that consist of a data field lying on a sampling grid that may not be uniformly spaced. However, progressive access for visualization, exploration, and communication of these datasets is a critical issue, and wavelet-based Embedded Coding an attractive solution given its prior success in realms such as image Coding. As grid information may compose a significant portion, or even a majority, of that of the overall dataset, Coding the grid as initial overhead is often impractical. Approaches for the joint Embedded Coding of data and grid are proposed using first-generation wavelet transforms so as not to require prior grid knowledge for transform inversion. In one proposed technique, two independently generated Embedded Codings, one for data and one for grid, are interleaved. As an alternative, an Embedded vector-valued coder, in which data and grid are combined into a single vector-valued field, is considered. Experimental results are reported that favor the former approach over the latter.

  • Embedded wavelet based Coding of three dimensional oceanographic images with land masses
    IEEE Transactions on Geoscience and Remote Sensing, 2001
    Co-Authors: James E. Fowler
    Abstract:

    We describe the wavelets around land masses (WAVAL) system for the Embedded Coding of three-dimensional (3-D) oceanographic images. These images differ from those arising in other applications in that valid data exists only at grid points corresponding to sea. Grid points that cover land or lie beyond the bathymetry have no associated data. For these images, the WAVAL system employs a 3-D lifting wavelet transform tailored specifically to the potentially sparse nature of the data by processing only the valid sea data points between land masses. We introduce successive-approximation runlength (SARL) Coding, an Embedded-Coding procedure that adds successive-approximation properties to the well known stack-run (SR) algorithm. SARL is employed to code wavelet coefficients resulting from the 3-D transform in the WAVAL system. However, it is a general technique applicable to other Coding tasks in which Embedded Coding is desired but for which zerotree techniques are impractical. Experimental results show that the WAVAL system achieves substantial improvement in rate-distortion performance over the technique currently used by the US Navy for compression of oceanographic imagery.

Amy R Reibman - One of the best experts on this subject based on the ideXlab platform.

  • dct based Embedded Coding for packet video
    Signal Processing-image Communication, 1991
    Co-Authors: Amy R Reibman
    Abstract:

    Abstract We present an image compression algorithm that is useful for transmitting video over packet networks. The algorithm modifies those in references [4–6, 8, 10] by incorporating motion-compensated prediction. The low and high priority images can be computed in parallel, and the algorithm provides improved motion-compensated prediction of low-frequency discrete cosine transform (DCT) coefficients.

Luigia Puccio - One of the best experts on this subject based on the ideXlab platform.

Luis F Chaparro - One of the best experts on this subject based on the ideXlab platform.

  • low bit rate video Coding using dct based fast decimation interpolation and Embedded zerotree Coding
    IEEE Transactions on Circuits and Systems for Video Technology, 2007
    Co-Authors: Hakki Alparslan Ilgin, Luis F Chaparro
    Abstract:

    In this paper, we propose a low bit rate video Coding procedure in the discrete cosine transform (DCT) domain that is based in an Embedded zerotree algorithm and uses decimation and interpolation. Theory for decimation/interpolation in the DCT domain is presented, and its implementation with fast algorithms is shown. Motivated by the compositing of several video sources in multipoint video conferencing, we propose a new method for single streams that uses the proposed DCT-decimation in the encoder and the corresponding DCT-interpolation in the decoder. Decimated video frames are encoded using an Embedded zerotree and an adaptive arithmetic coder to improve the quality of the decoded videos. Zerotree Coding is a progressive Coding method that quantizes amplitudes of DCT coefficients of video frames into bit streams with increasing precision. Embedded Coding scheme depends on Coding a symbol by an adaptive arithmetic encoder as soon as the symbol is obtained by the zerotree Coding. Zerotree coder gives flexibility of controlling the bit rate precisely at given target bit rate. Compared to conventional Coding our proposed algorithm achieves peak signal-to-noise ratio improvements at low bit rate video Coding.