Semantic annotation and retrieval of images in digital libraries

Taha Osman; Dhavalkumar Thakker; Gerald Schaefer

doi:10.4018/978-1-59904-879-6.ch026

Semantic annotation and retrieval of images in digital libraries

Taha Osman, Dhavalkumar Thakker, Gerald Schaefer

Research output: Chapter in Book/Published conference output › Chapter

Abstract

While many digital image libraries allow access to large repositories of images, unfortunately, often the provided free-text search returns unsatisfactory retrieval results. The reason for this is that search techniques typically rely solely on statistical analysis of keyword recurrences in image annotations. In this chapter we show that through the employment of a semantic framework for image annotation, vastly improved retrieval can be accomplished. We present a semantically-enabled annotation and retrieval engine which relies on methodically structured ontologies for image annotation, and demonstrate how it provides more accurate retrieval results as well as a richer set of alternatives matchmaking the original query.

Original language	English
Title of host publication	Handbook of research on digital libraries: design, development, and impact
Editors	Yin-Leng Theng, Schubert Foo, et al
Publisher	IGI Global
Pages	261-268
Number of pages	8
ISBN (Electronic)	978-1-599-04880-2
ISBN (Print)	978-1-599-04879-6
DOIs	https://doi.org/10.4018/978-1-59904-879-6.ch026
Publication status	Published - Dec 2009

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10.4018/978-1-59904-879-6.ch026

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title = "Semantic annotation and retrieval of images in digital libraries",

abstract = "While many digital image libraries allow access to large repositories of images, unfortunately, often the provided free-text search returns unsatisfactory retrieval results. The reason for this is that search techniques typically rely solely on statistical analysis of keyword recurrences in image annotations. In this chapter we show that through the employment of a semantic framework for image annotation, vastly improved retrieval can be accomplished. We present a semantically-enabled annotation and retrieval engine which relies on methodically structured ontologies for image annotation, and demonstrate how it provides more accurate retrieval results as well as a richer set of alternatives matchmaking the original query.",

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Semantic annotation and retrieval of images in digital libraries

Abstract

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