Fast Mode and Depth Decision for HEVC Intra Prediction Based on Edge Detection and Partition Reconfiguration

Chen, Gaoxing; Sun, Lei; Liu, Zhenyu; Ikenaga, Takeshi

doi:10.1587/transfun.e97.a.2130

Cited by 1 publication

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cho and Kim [12] proposed fast CU splitting and pruning methods based on Bayes decision rules in order to reduce the computational complexity in the HEVC intraprediction process. Fast intraprediction approaches based on gradients have been used [7,13,14]. Wang and Siu [15] reported an adaptive intramode skipping algorithm and signaling International Journal of Distributed Sensor Networks processes using statistical properties of reference samples.…”

Section: Hevc Encoding Structure and Related Workmentioning

confidence: 99%

Fast Video Encoding Algorithm for the Internet of Things Environment Based on High Efficiency Video Coding

Lee

Jang

Kim

et al. 2015

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Video data for the Internet traffic is increasing, and video data transmission is important for consideration of real-time process in the Internet of Things (IoT). Thus, in the IoT environment, video applications will be valuable approach in networks of smart sensor devices. High Efficiency Video Coding (HEVC) has been developed by the Joint Collaborative Team on Video Coding (JCT-VC) as a new generation video coding standard. Recently, HEVC includes range extensions (RExt), scalable coding extensions, and multiview extensions. HEVC RExt provides high resolution video with a high bit-depth and an abundance of color formats. In this paper, a fast intraprediction unit decision method is proposed to reduce the computational complexity of the HEVC RExt encoder. To design intramode decision algorithm, Local Binary Pattern (LBP) of the current prediction unit is used as texture feature. Experimental results show that the encoding complexity can be reduced by up to 12.35% on average in the AI-Main profile configuration with only a small bit-rate increment and a PSNR decrement, compared with HEVC test model (HM) 12.0-RExt4.0 reference software.

show abstract