Efficient Content-Based Video Retrieval in HEVC Standard Using Auto-Correloblock: A Novel Approach

Subject Areas : Journal of Computer & Robotics

Yaghoub Saberi ¹ (Department of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Mohammadreza Ramezanpour ² (Department of Computer Engineering, Mobarakeh Branch, Islamic Azad University, Isfahan, Iran)
Shervan Fekri-Ershad ³ (a Department of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Behrang Baraktain ⁴ (Department of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)

Received: 2023-07-05 Accepted : 2023-10-22 Published : 2023-11-28

Keywords: HEVC standard, Content-based video retrieval, PU size, Auto-correloblock,

Abstract :

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.