Visual pattern based compressed domain image retrieval

Gerald Schaefer

doi:10.4018/978-1-59904-879-6.ch045

Visual pattern based compressed domain image retrieval

Gerald Schaefer^*

^*Corresponding author for this work

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

Abstract

While image retrieval and image compression have been pursued separately in the past, compressed domain techniques, which allow processing or retrieval of images without prior decompression, are becoming increasingly important. In this chapter we show that such midstream content access is possible and present a compressed domain retrieval method based on a visual pattern based compression algorithm. Experiments conducted on a medium sized image database demonstrate the effectiveness and efficiency of the presented approach.

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	441-447
Number of pages	7
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.ch045
Publication status	Published - Dec 2009

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10.4018/978-1-59904-879-6.ch045

Cite this

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title = "Visual pattern based compressed domain image retrieval",

abstract = "While image retrieval and image compression have been pursued separately in the past, compressed domain techniques, which allow processing or retrieval of images without prior decompression, are becoming increasingly important. In this chapter we show that such midstream content access is possible and present a compressed domain retrieval method based on a visual pattern based compression algorithm. Experiments conducted on a medium sized image database demonstrate the effectiveness and efficiency of the presented approach.",

author = "Gerald Schaefer",

year = "2009",

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AB - While image retrieval and image compression have been pursued separately in the past, compressed domain techniques, which allow processing or retrieval of images without prior decompression, are becoming increasingly important. In this chapter we show that such midstream content access is possible and present a compressed domain retrieval method based on a visual pattern based compression algorithm. Experiments conducted on a medium sized image database demonstrate the effectiveness and efficiency of the presented approach.

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DO - 10.4018/978-1-59904-879-6.ch045

M3 - Chapter

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SN - 978-1-599-04879-6

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BT - Handbook of research on digital libraries: design, development, and impact

A2 - Theng, Yin-Leng

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ER -

Visual pattern based compressed domain image retrieval

Abstract

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Effective and efficient browsing of large image databases

Semantic annotation and retrieval of images in digital libraries

Visualisation of large image databases

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