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A metadatabase system for semantic image search by a mathematical model of meaning

Authors:

Yasushi Kiyoki,

Takashi Kitagawa,

Takanari HayamaAuthors Info & Claims

ACM SIGMOD Record, Volume 23, Issue 4

Pages 34 - 41

https://doi.org/10.1145/190627.190639

Published: 01 December 1994 Publication History

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Abstract

In the design of multimedia database systems, one of the most important issues is to extract images dynamically according to the user's impression and the image's contents. In this paper, we present a metadatabase system which realizes the semantic associative search for images by giving keywords representing the user's impression and the image's contents.This metadatabase system provides several functions for performing the semantic associative search for images by using the metadata representing the features of images. These functions are realized by using our proposed mathematical model of meaning. The mathematical model of meaning is extended to compute specific meanings of keywords which are used for retrieving images unambiguously and dynamically. The main feature of this model is that the semantic associative search is performed in the orthogonal semantic space. This space is created for dynamically computing semantic equivalence or similarity between the metadata items of the images and keywords.

References

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https://doi.org/10.1109/SERA61261.2024.10685649
Hochin TLien T(2024)Applying Impression Evaluation Method by Space to Multimedia Data Retrieval Using Impression Words2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA)10.1109/SERA61261.2024.10685619(316-321)Online publication date: 30-May-2024
https://doi.org/10.1109/SERA61261.2024.10685619
Ho Ro SLi YGong J(2024)A Machine learning approach for Post-Disaster data curationAdvanced Engineering Informatics10.1016/j.aei.2024.10242760(102427)Online publication date: Apr-2024
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Index Terms

A metadatabase system for semantic image search by a mathematical model of meaning
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
2. Information systems
  1. Data management systems
  2. Information systems applications
    1. Multimedia information systems

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Information

Published In

ACM SIGMOD Record Volume 23, Issue 4

Dec. 1994

98 pages

ISSN:0163-5808

DOI:10.1145/190627

Editor:
Arie Segev
The Univ. of California and Lawrence Berkeley Laboratory

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Association for Computing Machinery

New York, NY, United States

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Published: 01 December 1994

Published in SIGMOD Volume 23, Issue 4

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https://doi.org/10.1109/SERA61261.2024.10685649
Hochin TLien T(2024)Applying Impression Evaluation Method by Space to Multimedia Data Retrieval Using Impression Words2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA)10.1109/SERA61261.2024.10685619(316-321)Online publication date: 30-May-2024
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Abstract

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Towards semantic faceted search

Image Semantic Search Engine

Meaning and the semantic web

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