Re-ranking algorithm for multimedia retrieval via utilization of inclusive and exclusive relationships between semantic concepts

Chao Chen, L. I.N. Lin, Mei Ling Shyu

Research output: Contribution to journalArticle

Abstract

The performance of ranking the retrieval results based on context and/or content information is usually limited because it depends heavily on the quality of the extracted information. Therefore, re-ranking approaches have been developed to improve the retrieval performance, but how to re-rank the retrieval results remains a challenge. In this paper, the inclusive and exclusive relationships between semantic concepts are utilized to re-rank the retrieval results. The inclusive relationship refers to the high co-occurrence relation between a target semantic concept and a reference semantic concept; while the exclusive relationship refers to the low or none co-occurrence relation. Moreover, multiple reference concepts provide more information from different aspects than only one reference concept does. Multiple Correspondence Analysis (MCA) is applied in this paper to capture the correlation in terms of the impact weights between attributes and the co-occurrence classes, and the average value of all the impact weights is utilized to re-rank the retrieved results for the target semantic concept. Experimental results on the MediaMill Challenge problem and the TRECVID 2011 video collections demonstrate that our proposed framework can enhance the retrieval results for a number of target semantic concepts.

Original languageEnglish (US)
Pages (from-to)135-154
Number of pages20
JournalInternational Journal of Semantic Computing
Volume6
Issue number2
DOIs
StatePublished - Jun 1 2012

    Fingerprint

Keywords

  • exclusive relationship
  • inclusive relationship
  • Multiple correspondence analysis (MCA)
  • re-ranking
  • semantic information retrieval

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Linguistics and Language
  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence

Cite this