Granularity-based interactive image display

Geng Zhi Fann, Mei Chen Yeh

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

Abstract

This paper presents a prototype system that assists users in accessing an unstructured image set (e.g., search results of a query). The system provides a spectrum of overviews, each of which is determined by the display granularity (i.e., the level of summary) an user desires. This new functionality enables a new granularity-based interactive image browsing experience.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
PublisherIEEE Computer Society
Number of pages1
ISBN (Electronic)9781509021758
DOIs
Publication statusPublished - 2018 Feb 20
Event24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China
Duration: 2017 Sep 172017 Sep 20

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2017-September
ISSN (Print)1522-4880

Other

Other24th IEEE International Conference on Image Processing, ICIP 2017
CountryChina
CityBeijing
Period17/9/1717/9/20

Keywords

  • Image retrieval
  • Interactive browsing

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Fann, G. Z., & Yeh, M. C. (2018). Granularity-based interactive image display. In 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings (Proceedings - International Conference on Image Processing, ICIP; Vol. 2017-September). IEEE Computer Society. https://doi.org/10.1109/ICIP.2017.8297157