Image searching on the Web - PowerPoint PPT Presentation

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Image searching on the Web

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GIF: CompuServe Graphics Interchange format, a dominant web format ... BMP: such as desktop wallpaper image, not supported by any Web browser ... – PowerPoint PPT presentation

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Title: Image searching on the Web


1
Image searching on the Web
  • Qunyan Mao
  • SIMS, UC Berkeley

2
Image on the Web
  • More images on the web
  • Format of image
  • GIF CompuServe Graphics Interchange format, a
    dominant web format
  • JPEG support true color, ideal for photographs
  • TIF large file size, not well suited for web
    pages

3
Image format
  • BMP such as desktop wallpaper image, not
    supported by any Web browser
  • PNG Portable Network Graphics. An image format
    for the future.

4
Image indexing
  • Two methods used in indexing images
  • text-based
  • content-based

5
Text-based vs content based
  • Text-based commonly used image indexing and
    searching method
  • descriptive text
  • controlled vocabulary
  • Drawbacks
  • have to have descriptor along with the image to
    make it accessible
  • consistency different type of textual data
  • human intervention

6
Text-based vs.. content based
  • Content-based indexing and searching
  • goal provide algorithms that can automatically
    recognize the important features in an image
    without human intervention
  • search by color, shape,spatial relationship

7
Where to start
  • Search engine
  • general search engine AltaVista, Lycos,
  • image search engine WebSEEK
  • Specialized image database
  • Museum, archive, and library digital image
    database

8
How search engine work
  • How does a Web search engine identify images and
    match to your criteria
  • look for graphic files HTML tags and
    . Example AltaVista
  • Look for caption HTML tag
  • Look for title of Web page
  • Employ human intervention to catalog images

9
Search example Giraffe
  • AltaVista
  • Lycos
  • WebSEEK

10
AltaVista
  • Http//image.altavista.com/cgi-bin/avncgi
  • Text-based indexing file name and path name
  • (live search demo)

11
Lycos
  • Http//lycospro.lycos.com
  • Text-based indexing file name, path name and
    caption( tag)
  • (live search demo)

12
WebSEEK
  • Http//www.disney.ctr.columbia.edu/webseek
  • content-based image search engine
  • (live search demo)

13
Specialized image database
  • Museums, archive, and library digital image
    database
  • Fine arts museums of San Francisco
    http//www.thinker.org/imagebase/index-2.html
  • California heritage collection
    http//sunsite.berkeley.edu/CalHeritage/collection
    .html
  • National Museum of America Art

14
Problems in using search engines
  • Search result heavily relies on the how the
    webmaster name the image file and directory.
  • Even with the content -based search, there are a
    lot unexpected results

15
Specialized image database
  • More likely use controlled vocabulary to describe
    the image
  • well organized comparing to the other images on
    the Web
  • have their own search tools or find aids

16
Before using the image
  • Available for viewing doesnt mean available for
    reuse
  • Make sure you have right to use it
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