Sentence-based image description with scalable, explicit models

Micah Hodosh, Julia Hockenmaier

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

Abstract

Associating photographs with complete sentences that describe what is depicted in them is a challenging problem. This paper examines how an approach that is inspired by image tagging techniques which can scale to very large data sets performs on this much harder task, and examines some of the linguistic difficulties that this bag-of-words model faces.

Original languageEnglish (US)
Title of host publicationProceedings - 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013
Pages294-300
Number of pages7
DOIs
StatePublished - 2013
Event2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013 - Portland, OR, United States
Duration: Jun 23 2013Jun 28 2013

Publication series

NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN (Print)2160-7508
ISSN (Electronic)2160-7516

Other

Other2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013
Country/TerritoryUnited States
CityPortland, OR
Period6/23/136/28/13

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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