Adaptive group-of-pictures and scene change detection methods based on existing H.264 advanced video coding information

J. R. Ding, J. F. Yang

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)

Abstract

The H.264 advanced video coding (H.264/AVC) standard provides several advanced features such as improved coding efficiency and error robustness for video storage and transmission. In order to improve the coding performance of H.264/AVC, coding control parameters such as group-of-pictures (GOP) sizes should be adaptively adjusted according to different video content variations (VCVs), which can be extracted from temporal deviation between two consecutive frames. The authors present a simple VCV estimation to design adaptive GOP detection (AGD) and scene change detection (SCD) methods by using the obtained motion information, where the motion vectors and the sum of absolute transformed differences as VCV features are effectively used to design the AGD and SCD algorithms, respectively. In order to avoid unnecessary computation, the above VCV features are obtained only in the 4×4 inter-frame prediction mode. Simulation results show that the proposed AGD with SCD methods can increase the peak signal-to-noise ratio by 0.62dB on average over the H.264/AVC operated with a fixed GOP size. Besides, the proposed SCD method can reach a scene change detection rate of 98.

Original languageEnglish
Pages (from-to)85-94
Number of pages10
JournalIET Image Processing
Volume2
Issue number2
DOIs
Publication statusPublished - 2008 May 5

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Adaptive group-of-pictures and scene change detection methods based on existing H.264 advanced video coding information'. Together they form a unique fingerprint.

Cite this