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  • Open Access

    ARTICLE

    Unified FPGA Design for the HEVC Dequantization and Inverse Transform Modules

    Turki M. Alanazi, Ahmed Ben Atitallah*

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4319-4335, 2022, DOI:10.32604/cmc.2022.022988 - 14 January 2022

    Abstract As the newest standard, the High Efficiency Video Coding (HEVC) is specially designed to minimize the bitrate for video data transfer and to support High Definition (HD) and ULTRA HD video resolutions at the cost of increasing computational complexity relative to earlier standards like the H.264. Therefore, real-time video decoding with HEVC decoder becomes a challenging task. However, the Dequantization and Inverse Transform (DE/IT) are one of the computationally intensive modules in the HEVC decoder which are used to reconstruct the residual block. Thus, in this paper, a unified hardware architecture is proposed to implement… More >

  • Open Access

    ARTICLE

    Age-Based Automatic Voice Conversion Using Blood Relation for Voice Impaired

    Palli Padmini1, C. Paramasivam1, G. Jyothish Lal2, Sadeen Alharbi3,*, Kaustav Bhowmick4

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 4027-4051, 2022, DOI:10.32604/cmc.2022.020065 - 27 September 2021

    Abstract The present work presents a statistical method to translate human voices across age groups, based on commonalities in voices of blood relations. The age-translated voices have been naturalized extracting the blood relation features e.g., pitch, duration, energy, using Mel Frequency Cepstrum Coefficients (MFCC), for social compatibility of the voice-impaired. The system has been demonstrated using standard English and an Indian language. The voice samples for resynthesis were derived from 12 families, with member ages ranging from 8–80 years. The voice-age translation, performed using the Pitch synchronous overlap and add (PSOLA) approach, by modulation of extracted voice… More >

  • Open Access

    ARTICLE

    Optimization Based Vector Quantization for Data Reduction in Multimedia Applications

    V. R. Kavitha1,*, M. Kanchana2, B. Gobinathan3, K. R. Sekar4, Mohamed Yacin Sikkandar5

    Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 853-867, 2022, DOI:10.32604/iasc.2022.018358 - 22 September 2021

    Abstract Data reduction and image compression techniques in the present Internet and multi-media age are essential to increase image and video capacity in relation to memory, network bandwidth use and safe data transmission. There have been a different variety of image compression models with varying compression efficiency and visual image quality in the literature. Vector Quantization (VQ) is a widely used image coding scheme that is designed to generate an efficient coding book that includes a list of codewords that assign the input image vector to a minimum distance of Euclidea. The Linde–Buzo–Gray (LBG) historically widely… More >

  • Open Access

    ARTICLE

    CNN-Based Fast HEVC Quantization Parameter Mode Decision

    Liming Chen1, Bosi Wang1,*, Weijie Yu1, Xu Fan1

    Journal of New Media, Vol.1, No.3, pp. 115-126, 2019, DOI:10.32604/jnm.2019.08581

    Abstract With the development of multimedia presentation technology, image acquisition technology and the Internet industry, long-distance communication methods have changed from the previous letter, the audio to the current audio/video. And the proportion of video in work, study and entertainment keeps increasing, high-definition video is getting more and more attention. Due to the limits of the network environment and storage capacity, the original video must be encoded to be efficiently transmitted and stored. High Efficient Video Coding (HEVC) requires a large amount of time to recursively traverse all possible quantization parameter values of the coding unit More >

  • Open Access

    ARTICLE

    An Image Steganography Algorithm Based on Quantization Index Modulation Resisting Scaling Attacks and Statistical Detection

    Yue Zhang1, Dengpan Ye2, Junjun Gan1, Zhenyu Li3, Qingfeng Cheng1,*

    CMC-Computers, Materials & Continua, Vol.56, No.1, pp. 151-167, 2018, DOI:10.3970/cmc.2018.02464

    Abstract In view of the fact that the current adaptive steganography algorithms are difficult to resist scaling attacks and that a method resisting scaling attack is only for the nearest neighbor interpolation method, this paper proposes an image steganography algorithm based on quantization index modulation resisting both scaling attacks and statistical detection. For the spatial image, this paper uses the watermarking algorithm based on quantization index modulation to extract the embedded domain. Then construct the embedding distortion function of the new embedded domain based on S-UNIWARD steganography, and use the minimum distortion coding to realize the… More >

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