Novel Integration of Frame Rate Up Conversion and HEVC Coding Based on Rate-Distortion Optimization - 2018 PROJECT TITLE :Novel Integration of Frame Rate Up Conversion and HEVC Coding Based on Rate-Distortion Optimization - 2018ABSTRACT:Frame rate up conversion (FRUC) will improve the visual quality by interpolating new intermediate frames. However, high frame rate videos by FRUC are confronted with additional bitrate consumption or annoying artifacts of interpolated frames. In this Project, a unique integration framework of FRUC and high efficiency video coding (HEVC) is proposed based mostly on rate-distortion optimization, and also the interpolated frames will be reconstructed at encoder side with low bitrate price and high visual quality. First, joint motion estimation (JME) algorithm is proposed to obtain sturdy motion vectors, that are shared between FRUC and video coding. What's a lot of, JME is embedded into the coding loop and employs the first motion search strategy in HEVC coding. Then, the frame interpolation is formulated as a rate-distortion optimization downside, where both the coding bitrate consumption and visual quality are taken under consideration. Because of the absence of original frames, the distortion model for interpolated frames is established per the motion vector reliability and coding quantization error. Experimental results demonstrate that the proposed framework can achieve 21% ~ forty two% reduction in BDBR, when put next with the ancient methods of FRUC cascaded with coding. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest NIQSV+ A No-Reference Synthesized View Quality Assessment Metric - 2018 Object-Part Attention Model for Fine-Grained Image Classification - 2018