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    List of Articles Mohammadreza Ramezanpour


  • Article

    1 - An Adaptive Data Hiding Method for Compressed Videos in HEVC Standard
    Journal of Computer & Robotics , Issue 22 , Year , Summer 2020
    High efficiency video coding (HEVC) standard is highly contributive in data hiding. Combining the HEVC standard with data hiding methods is a complex task, and because the highly efficient coding process is a powerful attack, eliminating some of the original video data More
    High efficiency video coding (HEVC) standard is highly contributive in data hiding. Combining the HEVC standard with data hiding methods is a complex task, and because the highly efficient coding process is a powerful attack, eliminating some of the original video data would not have a significant effect on obtaining the best compression rates and transmission efficiency. The data embedded in the pixels is lost when compressed with the HEVC standard. In order to solve this problem, we need to use features other than the pixel value .In this paper, an efficient data hiding method is proposed through intra prediction modes in HEVC, where the intra prediction modes is applied as the secret data carrier obtained from the N smallest prediction units. The experimental results show that the average PSNR decreased by 0.11 db, while the bit rate increased by on average 0.25%. Manuscript profile

  • Article

    2 - Efficient Content-Based Video Retrieval in HEVC Standard Using Auto-Correloblock: A Novel Approach
    Journal of Computer & Robotics , Issue 30 , Year , Summer 2024
    This paper proposes a new method for content-based video retrieval in the HEVC standard, which is becoming increasingly popular for video compression. Retrieving compressed videos can be time-consuming due to the need for decompression, but the proposed method utilizes More
    This paper proposes a new method for content-based video retrieval in the HEVC standard, which is becoming increasingly popular for video compression. Retrieving compressed videos can be time-consuming due to the need for decompression, but the proposed method utilizes the features of the HEVC standard in compressed mode and introduces a new concept called Auto Correloblock to enable retrieval without full decompression. The method uses the histogram of prediction mode within the standard HEVC frame after normalization, as well as the value and spatial distance of the blocks, to retrieve videos. The simulation results demonstrate the high efficiency of the proposed method, with an average recall of 96.27% and an average precision of 77.34% for 50 search operations. This approach outperforms similar methods and has potential applications in various fields that use the HEVC standard. Overall, this paper presents a promising solution to the challenge of content-based video retrieval in the HEVC standard, which can save time and improve efficiency in various applications. Manuscript profile