Automatic image description by using word-level features

Shingo Horiuchi, Hirotaka Moriguchi, Shinichi Honiden, Shengbo Xu

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

Abstract

Automatic image description is one of the challenging tasks of image recognitions. However, there are image descriptions that contain some too specific phrases that cannot be judged only from appearance of images. In this paper, we propose a novel approach to collect general phrases for generating image descriptions. On the assumption that there are high frequency phrases related to an query image in the image descriptions of similar images, we select nouns and their attribute phrases from the image descriptions of similar images based on their frequency. In order to evaluate the relevance of our image description, we conduct comparative experiments with existing approaches. Our experimental results show that our image descriptions are short, concise and visually relevant to query images.

Original languageEnglish
Title of host publicationICIMCS 2013 - Proceedings of the 5th International Conference on Internet Multimedia Computing and Service
Pages309-314
Number of pages6
DOIs
Publication statusPublished - 2013 Sep 16
Event5th International Conference on Internet Multimedia Computing and Service, ICIMCS 2013 - Huangshan, China
Duration: 2013 Aug 172013 Aug 19

Publication series

NameACM International Conference Proceeding Series

Other

Other5th International Conference on Internet Multimedia Computing and Service, ICIMCS 2013
CountryChina
CityHuangshan
Period13/8/1713/8/19

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Keywords

  • automatic image annotation
  • image description
  • image recognition

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Horiuchi, S., Moriguchi, H., Honiden, S., & Xu, S. (2013). Automatic image description by using word-level features. In ICIMCS 2013 - Proceedings of the 5th International Conference on Internet Multimedia Computing and Service (pp. 309-314). (ACM International Conference Proceeding Series). https://doi.org/10.1145/2499788.2499823