On human time-varying mesh compression exploiting activity-related characteristics


In this work, we explore the potential of exploiting activity related global features in order to improve the performance of an existing human Time-Varying Mesh (TVM) compression scheme. The TVM compression scheme used, employs two kinds of frames, namely Intra(I)-Fames and Enhanced Predicted(EP) Frames. In this scheme, I-Frames are used as a reference to encode EP-Frames. The paper introduces a strategy for selecting the most appropriate I-Frame that will serve as a reference frame for the encoding of EP-Frames, exploiting activity-related characteristics. Two different strategies are presented, using a skeleton-matching criterion and a periodicity measurement metric based on human skeleton. Evaluation is conducted on two sequences of the MPEG-3DGC database. Results show that the concept is sound, but they also reveal the sensitivity of the proposed methods to the skeleton quality, thus the need for more robust skeleton tracking techniques.

  • A. Doumanoglou, D. Alexiadis, S. Asteriadis, D. Zarpalas, P. Daras, "On human time-varying mesh compression exploiting activity-related characteristics", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), FLORENCE, ITALY, MAY 4-9, 2014

  • Full document available here.
    Contact Information

    Dr. Petros Daras, Principal Researcher Grade Α
    1st km Thermi – Panorama, 57001, Thessaloniki, Greece
    P.O.Box: 60361
    Tel.: +30 2310 464160 (ext. 156)
    Fax: +30 2310 464164
    Email: daras@iti.gr