Nehal N. Shah

Work place: Sarvajanik College of Engineering and Technology, Surat, 395001, India

E-mail: nehal.shah@scet.ac.in

Website:

Research Interests: Algorithm Design, Image Processing, Processor Design, Embedded System, Computer systems and computational processes

Biography

Nehal Shah is a PhD student at the Sardar Vallabhbhai Patel National Institute of Technology (SVNIT), Surat. She received her postgraduate degree in Electronics Design and Technology from Indian Institute of Science (IISc) Bangalore and Electronics engineering from SVNIT, Surat. Her research interests include Video processing, ASIC Design, Microprocessors and Embedded Systems. She is working in Sarvajanik College of Engineering and Technology, Surat since 1998 and currently she is PG Incharge and Associate Professor in Electronics and Communication department. She has guided several PG and UG students for their project work and coordinated conference, STTPs, workshops and several technical programs for students, faculty members and working professional.

Author Articles
Multi Point Search Pattern for Fast Search Motion Estimation of High Resolution Video Coding

By Nehal N. Shah Upena D Dalal Priyank H. Prajapati

DOI: https://doi.org/10.5815/ijigsp.2015.07.07, Pub. Date: 8 Jun. 2015

Block matching algorithm (BMA) based motion estimation (ME) is most accepted method for removal of temporal redundancy between frames in video coding. With recent advancement in resolution of video, the need of search pattern covering most of macroblocks within search area in frame is increasing. Existing search patterns are tiny and take plenty of time to reach at edge or corner of the search window. With aim of covering nearly every probable candidate macroblocks in all direction and to speed up the search process, multipoint search patterns are presented in this paper. Initial candidate macroblocks are chosen on grid of 12x12 and then search progresses like traditional diamond or hexagon search. Due to multipoint, chances of trapping in incorrect direction is very less and method can exhibit better quality of encoding with optimum number of search points.

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