Compression and Key Feature Extraction for Video Transmission

Authors:
Esteban Tobias Bayro Kaiser;Eduardo Correa-Arameda;Eduardo Bayro-Corrochano
Affiliations:
Escuela universitaria de ingeniería eléctrica y electrónica Arica, University of Tarapacá, Chile;Escuela universitaria de ingeniería eléctrica y electrónica Arica, University of Tarapacá, Chile;Departamento de Ingeniería Eléctrica y Ciencias de la Computación, CINVESTAV, Unidad Guadalajara, México
Venue:
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2009

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Abstract

This paper presents a gray scale image compression method using the Wavelet Transform and key feature detection for mobile phone video transmission. The major contribution of this work is to show the application of the wavelet transform in image compression and to add a new method to reduce redundant information in video transmission which is key feature detection. An algorithm is designed in Matlab to accomplish this task using a face to face video.