Abstract
In this paper, we present an adaptive motion search range decision algorithm for low-power video encoder. The performance, computation, and power consumption of block matching motion estimation algorithms in video coding standards depends on the motion search range. The motion search range to restrict the motion candidates controls the trade-off between the motion accuracy and the encoder complexity. The proposed algorithm adaptively determines the motion search range by local statistics of the neighbor blocks, resulting in dramatic reduction of computational cost of video encoder without the loss of coding efficiency. Experimental results show that the proposed algorithm speeds up encoding time by 1.5-2.8 times, and reduces power consumption to 2.5-7.0 times.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
