A model of evaluation: Computational performance and usability benchmarks on video stream context analysis

Pekka Sillberg, Shuichi Kurabayashi, Petri Rantanen, Naofumi Yoshida

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

This paper presents a model of evaluation for computing performance and usability benchmarks. The target evaluation is context analysis of video streams. The paper describes the required system components, system architecture and evaluation model, as well as the test cases that can be performed using the designed environment. During the modelling, design, implementation and preliminary tests of the environment, some issues, problems and good-to-know key points were discovered which are explained in this paper. Reference guidance for future test cases is also given. The modelling and experimental results presented in this paper are based on the test environment, and the observations of the cooperation project between Tampere University of Technology Pori Unit and Keio University Shonan Fujisawa Campus.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXIV
PublisherIOS Press
Pages188-200
Number of pages13
ISBN (Print)9781614991762
DOIs
Publication statusPublished - 2013

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume251
ISSN (Print)0922-6389

Keywords

  • Evaluation
  • Kansei
  • Test Environment
  • Video Analysis

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Sillberg, P., Kurabayashi, S., Rantanen, P., & Yoshida, N. (2013). A model of evaluation: Computational performance and usability benchmarks on video stream context analysis. In Information Modelling and Knowledge Bases XXIV (pp. 188-200). (Frontiers in Artificial Intelligence and Applications; Vol. 251). IOS Press. https://doi.org/10.3233/978-1-61499-177-9-188