The Experts below are selected from a list of 561 Experts worldwide ranked by ideXlab platform

Yishin Tung - One of the best experts on this subject based on the ideXlab platform.

  • an efficient memory construction scheme for an arbitrary side growing Huffman Table
    International Conference on Multimedia and Expo, 2006
    Co-Authors: Sungwen Wang, Shangchih Chuang, Chihchieh Hsiao, Yishin Tung
    Abstract:

    By grouping the common prefix of a Huffman tree, in stead of the commonly used single-side rowing Huffman tree (SGH-tree), we construct a memory efficient Huffman Table on the basis of an arbitrary-side growing Huffman tree (AGH-tree) to speed up the Huffman decoding. Simulation results show that, in Huffman decoding, an AGH-tree based Huffman Table is 2.35 times faster that of the Hashemian's method (an SGH-tree based one) and needs only one-fifth the corresponding memory size. In summary, a novel Huffman Table construction scheme is proposed in this paper which provides better performance than existing construction schemes in both decoding speed and memory usage

  • ICME - An Efficient Memory Construction Scheme for an Arbitrary Side Growing Huffman Table
    2006 IEEE International Conference on Multimedia and Expo, 2006
    Co-Authors: Sungwen Wang, Shangchih Chuang, Chihchieh Hsiao, Yishin Tung
    Abstract:

    By grouping the common prefix of a Huffman tree, in stead of the commonly used single-side rowing Huffman tree (SGH-tree), we construct a memory efficient Huffman Table on the basis of an arbitrary-side growing Huffman tree (AGH-tree) to speed up the Huffman decoding. Simulation results show that, in Huffman decoding, an AGH-tree based Huffman Table is 2.35 times faster that of the Hashemian's method (an SGH-tree based one) and needs only one-fifth the corresponding memory size. In summary, a novel Huffman Table construction scheme is proposed in this paper which provides better performance than existing construction schemes in both decoding speed and memory usage

  • An efficient encryption scheme for MPEG video
    2005 Digest of Technical Papers. International Conference on Consumer Electronics 2005. ICCE., 2005
    Co-Authors: In-kuan Cheong, Yishin Tung, Yi-chin Huang, Wen-chin Chen
    Abstract:

    We propose an encryption scheme for MPEG video, which uses a permuted Huffman Table to encode the input symbols, and then rotates and XORs (exclusive or) the encoded bit stream. This scheme adds very little computational overhead to the MPEG video compression process, and therefore the implementation is fast enough to meet the real-time requirement of MPEG video applications. In our analysis, it is also robust to both plaintext and ciphertext attacks. In addition, our scheme can be applied to all MPEG compression standards.

Yan Chen - One of the best experts on this subject based on the ideXlab platform.

Jiantao Zhou - One of the best experts on this subject based on the ideXlab platform.

Sungwen Wang - One of the best experts on this subject based on the ideXlab platform.

  • an efficient memory construction scheme for an arbitrary side growing Huffman Table
    International Conference on Multimedia and Expo, 2006
    Co-Authors: Sungwen Wang, Shangchih Chuang, Chihchieh Hsiao, Yishin Tung
    Abstract:

    By grouping the common prefix of a Huffman tree, in stead of the commonly used single-side rowing Huffman tree (SGH-tree), we construct a memory efficient Huffman Table on the basis of an arbitrary-side growing Huffman tree (AGH-tree) to speed up the Huffman decoding. Simulation results show that, in Huffman decoding, an AGH-tree based Huffman Table is 2.35 times faster that of the Hashemian's method (an SGH-tree based one) and needs only one-fifth the corresponding memory size. In summary, a novel Huffman Table construction scheme is proposed in this paper which provides better performance than existing construction schemes in both decoding speed and memory usage

  • ICME - An Efficient Memory Construction Scheme for an Arbitrary Side Growing Huffman Table
    2006 IEEE International Conference on Multimedia and Expo, 2006
    Co-Authors: Sungwen Wang, Shangchih Chuang, Chihchieh Hsiao, Yishin Tung
    Abstract:

    By grouping the common prefix of a Huffman tree, in stead of the commonly used single-side rowing Huffman tree (SGH-tree), we construct a memory efficient Huffman Table on the basis of an arbitrary-side growing Huffman tree (AGH-tree) to speed up the Huffman decoding. Simulation results show that, in Huffman decoding, an AGH-tree based Huffman Table is 2.35 times faster that of the Hashemian's method (an SGH-tree based one) and needs only one-fifth the corresponding memory size. In summary, a novel Huffman Table construction scheme is proposed in this paper which provides better performance than existing construction schemes in both decoding speed and memory usage

Zhiqin Liang - One of the best experts on this subject based on the ideXlab platform.