List of Articles

• Open Access Article
  • Abstract Page
  • Full-Text
  
  1 - Efficient Content-Based Video Retrieval in HEVC Standard Using Auto-Correloblock: A Novel Approach
  Yaghoub Saberi Mohammadreza Ramezanpour Shervan Fekri-Ershad Behrang Baraktain
  10.22094/jcr.2023.1990648.1308
  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
• Open Access Article
  • Abstract Page
  • Full-Text
  
  2 - Application of optimization algorithm to nonlinear fractional optimal control problems
  Asma Moradikashkooli Hamid Haj Seyyed Javadi Sam Jabbehdari
  10.22094/jcr.2023.1996770.1317
  In this study, an optimization algorithm based on the generalized Laguerre polynomials (GLPs) as the basis functions and the Lagrange multipliers is presented to obtain approximate solution of nonlinear fractional optimal control problems. The Caputo fractional derivati More

  In this study, an optimization algorithm based on the generalized Laguerre polynomials (GLPs) as the basis functions and the Lagrange multipliers is presented to obtain approximate solution of nonlinear fractional optimal control problems. The Caputo fractional derivatives of GLPs is constructed. The operational matrices of the Caputo and ordinary derivatives are introduced. The established scheme transforms obtaining the solution of such problems into finding the solution of algebraic systems of equations by approximating the state and control variables using the mentioned basis functions. The method is very accurate and is computationally very attractive. Examples are included to provide the capacity of the proposal method. Manuscript profile