Samera:A Scalable and Memory-Efficient Feature Extraction Algorithm for Short 3D Video Segments

Rahul Malik, Chandrasekar Ramachandran, Indranil Gupta, Klara Nahrstedt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Tele-immersive systems, are growing in popularity and sophistication. They generate 3D video content in large scale, yielding challenges for executing data-mining tasks. Some of the tasks include classification of actions, recognizing and learning actor movements and so on. Fundamentally, these tasks require tagging and identifying of the features present in the tele-immersive 3D videos. We target the problem of 3D feature extraction, a relatively unexplored direction. In this paper we propose Samera, a scalable and memory-efficient feature extraction algorithm which works on short 3D video segments. The focus is on relevant portions of each frame, then uses a flow based technique across frames (in a short video segment) to extract features. Finally it is scalable, by representing the constructed feature vector as a binary vector using Bloom Filters. The results obtained from experiments performed on 3D video segments obtained from Laban Movement Analysis (LMA) show that the compression ratio achieved in Samera is 147.5 as compared to the original 3D videos.

Original languageEnglish (US)
Title of host publicationIMMERSCOM 2009 - Proceedings of the 2nd International Conference on Immersive Telecommunications
PublisherAssociation for Computing Machinery
ISBN (Electronic)9789639799394
DOIs
StatePublished - 2009
Event2nd International Conference on Immersive Telecommunications, IMMERSCOM 2009 - Berkeley, United States
Duration: May 27 2009May 29 2009

Publication series

NameIMMERSCOM 2009 - Proceedings of the 2nd International Conference on Immersive Telecommunications

Conference

Conference2nd International Conference on Immersive Telecommunications, IMMERSCOM 2009
Country/TerritoryUnited States
CityBerkeley
Period5/27/095/29/09

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

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