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Miguel O. Martínez-Rach

Researcher at Universidad Miguel Hernández de Elche

Publications -  34
Citations -  144

Miguel O. Martínez-Rach is an academic researcher from Universidad Miguel Hernández de Elche. The author has contributed to research in topics: Encoder & Wavelet. The author has an hindex of 6, co-authored 31 publications receiving 137 citations.

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Proceedings ArticleDOI

A Study of Objective Quality Assessment Metrics for Video Codec Design and Evaluation

TL;DR: The purpose is to find a video quality metric that is able to substitute PSNR for video quality assessment and determine a more accurate R/D performance metric when designing and evaluating video codec proposals.
Proceedings ArticleDOI

Quality assessment metrics vs. PSNR under packet lossscenarios in manet wireless networks

TL;DR: This work takes as reference the PSNR metric and tries to find out if there is a more accurate metric in terms of human quality perception that could substitute PSNR in the performance evaluation of different coding proposals under packet loss scenarios.
Journal ArticleDOI

Improving student engagement on programming using app development with Android devices

TL;DR: This work presents the experience on Android teaching at Miguel Hernández University (Elche, Spain), which decided to orientate courses toward Android app development, and encouraged students to carry their Android phones or tablets to the classroom.
Proceedings ArticleDOI

A fast 3D-DWT video encoder with reduced memory usage suitable for IPTV

TL;DR: This paper introduces a fast frame-based 3D-DWT video encoder with low memory usage and there is no need to divide the input video sequence into group of pictures (GOP), and it can be applied in a continuous manner, so that no boundary effects between GOPs appear.
Journal ArticleDOI

M-LTW: A fast and efficient intra video codec

TL;DR: This work proposes an intra-video codec, M-LTW, which is able to obtain very good R/D performance results, as good as JPEG2000 or H.264 INTRA, with faster processing and lower memory usage.