Pictogram retrieval based on collective semantics

Heeryon Cho*, Toru Ishida, Rieko Inaba, Toshiyuki Takasaki, Yumiko Mori

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

To retrieve pictograms having semantically ambiguous interpretations, we propose a semantic relevance measure which uses pictogram interpretation words collected from a web survey. The proposed measure uses ratio and similarity information contained in a set of pictogram interpretation words to (1) retrieve pictograms having implicit meaning but not explicit interpretation word and (2) rank pictograms sharing common interpretation word(s) according to query relevancy which reflects the interpretation ratio.

Original languageEnglish
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationHCI Intelligent Multimodal Interaction Environments - 12th International Conference, HCI International 2007, Proceedings
PublisherSpringer Verlag
Pages31-39
Number of pages9
EditionPART 3
ISBN (Print)9783540731085
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event12th International Conference on Human-Computer Interaction, HCI International 2007 - Beijing, China
Duration: 2007 Jul 222007 Jul 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume4552 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Human-Computer Interaction, HCI International 2007
Country/TerritoryChina
CityBeijing
Period07/7/2207/7/27

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'Pictogram retrieval based on collective semantics'. Together they form a unique fingerprint.

Cite this