article

Semantic categorization of digital home photo using photographic region templates

Authors:

Yang Suk SeoAuthors Info & Claims

Information Processing and Management: an International Journal, Volume 43, Issue 2

Pages 503 - 514

https://doi.org/10.1016/j.ipm.2006.07.009

Published: 01 March 2007 Publication History

Abstract

In this paper, a semantic categorization method in generic home photos is proposed. In recent years, the semantic categorization of image has been a challenge due to the proliferation of digital home photos. Our approach is to detect semantically meaningful concepts contained in a photo. The proposed method incorporates an intermediate level of concepts, called local concept, so that it catches well semantic meaning of local regions of image as bridging the semantic gap of the low-level features and high-level category concepts. To detect the local concepts from the home photo, region segmentation by photographic region template and concept merging is also proposed. The efficacy of the proposed semantic categorization method was demonstrated with 3828 general home photos. The experiment results showed the proposed categorization method would be useful to detect multiple semantic meaning of the home photos.

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Cited By

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Kim SCho YGantenbein RKuo TTarokh V(2012)Photo retrieval combining ontology with visual informationProceedings of the 2012 ACM Research in Applied Computation Symposium10.1145/2401603.2401606(8-13)Online publication date: 23-Oct-2012
https://dl.acm.org/doi/10.1145/2401603.2401606
Tsapatsoulis NNtalianis K(2008)Semantic image annotation via hierarchical classificationProceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems10.5555/1562334.1562417(469-476)Online publication date: 26-Oct-2008
https://dl.acm.org/doi/10.5555/1562334.1562417

Index Terms

Semantic categorization of digital home photo using photographic region templates
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Semantic networks
  2. Machine learning
    1. Learning paradigms
      1. Supervised learning
        Supervised learning by classification
      2. Unsupervised learning
        Cluster analysis
    2. Machine learning approaches
      1. Classification and regression trees
2. Information systems
  1. Information retrieval
    1. Document representation
  2. Information systems applications
    1. Multimedia information systems
      1. Multimedia databases

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Published In

Information Processing and Management: an International Journal Volume 43, Issue 2

Special issue: AIRS2005: Information retrieval research in Asia

March 2007

252 pages

ISSN:0306-4573

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Pergamon Press, Inc.

United States

Publication History

Published: 01 March 2007

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Kim SCho YGantenbein RKuo TTarokh V(2012)Photo retrieval combining ontology with visual informationProceedings of the 2012 ACM Research in Applied Computation Symposium10.1145/2401603.2401606(8-13)Online publication date: 23-Oct-2012
https://dl.acm.org/doi/10.1145/2401603.2401606
Tsapatsoulis NNtalianis K(2008)Semantic image annotation via hierarchical classificationProceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems10.5555/1562334.1562417(469-476)Online publication date: 26-Oct-2008
https://dl.acm.org/doi/10.5555/1562334.1562417

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Home photo categorization based on photographic region templates

Semantic Home Photo Categorization

Semi-Automatic Tagging of Photo Albums via Exemplar Selection and Tag Inference

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