Fast Encoding Algorithm for H.265/HEVC Based on Tempo-spatial Correlation

نویسندگان

  • Chou-Chen Wang
  • Jung-Yang Kao
چکیده

The newest H.265/HEVC video coding standard adopts the quadtree-structured coding unit (CU) to match various texture characteristics of image. Therefore, H.265/HEVC can achieve significantly better coding efficiency than all existing video coding standards such as H.264/AVC. However, the computational complexity of the H.265/HEVC encoder increases dramatically due to its recursive quadtree representation to find the best coding tree unit (CTU) partition. To speed up the encoding procedure, a fast CU depth range decision method is proposed to reduce the depth search range in this paper. Based on the depth information correlation between tempo-spatial adjacent CTUs and the current CTU, some depths can be adaptively excluded from the depth search process in advance. The best depth of current CTU is determined by an intersection between temporal predicted depth ranges by 9 Gaussian weighting from encoded blocks and spatial predicted depth ranges by 4 best weighting from encoded blocks, separately. Experimental results show that the proposed scheme can achieve time improving ratio (TIR) about 42%~82% when compared to the default encoding scheme in HM 8.1 with insignificant loss of image quality. On the other hand, when compared with the other fast algorithm in [8], the proposed algorithm can further achieve an average TIR about 12%~ 8%.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Hierarchical Coding Algorithm for Medical Video Based on H.265/HEVC

In modern medical communication systems, the high-efficiency video compression technology is of great significance to the storage and transmission of digital medical videos. To further improve the compression performance of the medical ultrasound videos, two innovative technologies based on diagnostic region-of-interest (ROI) extraction with the High Efficiency Video Coding (H.265/HEVC) standar...

متن کامل

Medical Ultrasound Video Coding with H.265/HEVC Based on ROI Extraction

High-efficiency video compression technology is of primary importance to the storage and transmission of digital medical video in modern medical communication systems. To further improve the compression performance of medical ultrasound video, two innovative technologies based on diagnostic region-of-interest (ROI) extraction using the high efficiency video coding (H.265/HEVC) standard are pres...

متن کامل

Implementation of Motion Estimation Algorithm for H.265/HEVC

The most essential part of almost all video coding standards such as H.262/MPEG-2, H.264/MPEG-4 and newly emerged High Efficiency Video Coding (H.265/HEVC) is Motion Estimation. HEVC provides better performance in compression and efficiency in coding for Beyond HD and UHD videos. The main drawback is its computationcomplexity. The complexity is mainly due to Motion Estimation (ME), as it consum...

متن کامل

Low Complexity H.265/HEVC Coding Unit Size Decision for a Videoconferencing System

With the development of Internet and video capture techniques, videoconferencing becomes still more popular. However, with the increased size of the video resolution, the volume of the raw videoconferencing video data increases dramatically. The H.265/HEVC video compression standard can efficiently compresses the videoconferencing video, while the high compression rate is at the cost of heavy e...

متن کامل

Performance Evaluation of H.265/mpeg-hevc, Vp9 and H.264/mpeg- Avc Video Coding

This study evaluates the performance of the three latest video codecs H.265/MPEG-HEVC, H.264/MPEGAVC and VP9. The evaluation is based on both subjective and objective quality metrics. The assessment metric Double Stimulus Impairment Scale (DSIS) is used to evaluate the subjective quality of the compressed video sequences. The Peak Signal-to-Noise Ratio (PSNR) metricis used for the objective eva...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015