Visual pattern based compressed domain image retrieval

Gerald Schaefer*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish
Title of host publicationHandbook of research on digital libraries: design, development, and impact
EditorsYin-Leng Theng, Schubert Foo, et al
PublisherIGI Global
Pages441-447
Number of pages7
ISBN (Electronic)978-1-599-04880-2
ISBN (Print)978-1-599-04879-6
DOIs
Publication statusPublished - Dec 2009

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  • Research Output

    Effective and efficient browsing of large image databases

    Schaefer, G., Dec 2009, Handbook of research on digital libraries: design, development, and impact. Theng, Y-L., Foo, S. & et al (eds.). IGI Global, p. 142-148 7 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Semantic annotation and retrieval of images in digital libraries

    Osman, T., Thakker, D. & Schaefer, G., Dec 2009, Handbook of research on digital libraries: design, development, and impact. Theng, Y-L., Foo, S. & et al (eds.). IGI Global, p. 261-268 8 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Visualisation of large image databases

    Schaefer, G. & Ruszala, S., Dec 2009, Handbook of research on digital libraries: design, development, and impact. Theng, Y-L., Foo, S. & et al (eds.). IGI Global, p. 352-359 8 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Cite this

    Schaefer, G. (2009). Visual pattern based compressed domain image retrieval. In Y-L. Theng, S. Foo, & et al (Eds.), Handbook of research on digital libraries: design, development, and impact (pp. 441-447). IGI Global. https://doi.org/10.4018/978-1-59904-879-6.ch045