High Compression of Faces in Video Sequences for Multimedia Applications

Image and video coding are one of the most important topics in multimedia processing and communications. This paper presents a proposal for a novel video coding scheme intended to encode human faces in video sequences at very high compression using a recognition and reconstruction approach. During the last thirty years we have witnessed a tremendous explosion in research and applications in the visual communications field. You can also Subscribe to FINAL YEAR PROJECT'S by Email for more such projects and seminar.


The scheme is based on the well-known eigen space concepts used in face recognition systems, which have been modified to cope with the video compression application. An adaptive mechanism is presented to update the eigenspace which improves the overall approach. Results are presented which look promising.

In order to check the validity of the eigenspace approach for image coding, results using a fixed eigenspace will be first presented. These results will be useful to point out the main drawbacks of the eigenspace approach and to fully understand the adaptive eigenspace proposed in the next section.


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