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Image organizer

 
Wikipedia: Image organizer

An image organizer or image management application is application software focused on organizing digital images.[1][2] Image organizers represent one kind of desktop organizer software applications.

Contents

Common image organizers features

  • Multiple thumbnail previews are viewable on a single screen and printable on a single page. (Contact Sheet)
  • Images can be organized into albums
  • Albums can be organized into collections
  • Adding tags (also known as keywords, categories, labels or flags). Tags can be stored externally, or in industry-standard IPTC or XMP headers inside each image file.[3]
  • Resizing, exporting, e-mailing and printing.

Not so common, or differentiating features

  • Pictures can be organized by one or more mechanism
    • Images can be organized into folders, which may correspond to file-system folders.
    • Images may be organized into albums, which may be distinct from folders or file-system folders.
    • Albums may be organized into collections, which may not be the same as a folder hierarchy.
    • Grouping or sorting by date, location, and special photographic metadata such as exposure or f-stops if that information is available. See Exif for example.
    • Images can appear in more than one album
    • Albums can appear in more than one collection
    • Grouped or stacking of images within an album, by date, time, and linking copies to originals.
    • Adding and editing titles and captions
  • Simple or sophisticated search engines to find photos
    • Searching by keywords, caption text, metadata, dates, location or title
    • Searching with logical operators and fields, such as "(Title contains birthday) and (keywords contain cake) not (date before 2007)"
  • Separate backing up and exporting of metadata associated with photos.
  • Retouching of images (either destructively or non-destructively)
  • Editing images in third-party graphical software and then re-incorporating them into the album automatically
  • Stitching to knit together panoramic or tiled photos
  • Grouping of images to form a slideshow view
  • Exporting of slideshows as HTML or flash presentations for web deployment
  • Synchronizing of albums with web-based counterparts, either third-party (such as Lightroom and Flickr), or application specific (such as Picasa and Picasa Web)
  • Retention of Exif, IPTC and XMP metadata already embedded in the image file itself

Two categories of image organizers

  • Automatic image organizers. These are software packages that read data present in digital pictures and use this data to automatically create an organization structure. Each digital picture contains information about the date when the picture was taken. It is this piece of information that serves as the basis for automatic picture organization. The user usually has little or no control over the automatically created organization structure. Some tools create this structure on the hard drive (physical structure), while other tools create a virtual structure (it exists only within the tool).
  • Manual image organizers. This kind of software provides a direct view of the folders present on a user's hard disk. Sometimes referred to as image viewers, they only allow the user to see the pictures but do not provide any automatic organization features. They give maximum flexibility to a user and show exactly what the user has created on his hard drive. While they provide maximum flexibility, manual organizers rely on the user to have his/her own method to organize their pictures. Currently there are two main methods for organizing pictures manually: tag and folder based methods. While not mutually exclusive, these methods are different in their methodology, outcome and purpose.

Presently, many commercial image organizers offer both automatic and manual image organization features. A comparison of image viewers reveals that many free software packages are available that offer most of the organization features available in commercial software.

Future of image organization

There are several imminent advances anticipated in the image organization domain which may soon allow widespread automatic assignment of keywords or image clustering based on image content [4]:

  • colour, shape and texture recognition [5] (For example, Picasa experimentally allows searching for photos with primary colour names)
  • subject recognition [6]
  • fully- or semi-automated facial, torso or body recognition [7][8] (For example, FXPAL in Palo Alto experimentally extracts faces from images and measures the distance between each face and a template.)
  • geo-temporal sorting and event clustering [9]. Many software will sort by time or place; experimental software has been used to predict special events such as birthdays based on geo-temporal clustering.

In general, these methods either:

  • automatically assign keywords based on content, or
  • measure the distance between an unclassified image and some template image which is associated with a keyword, and then propose that the operator apply the same keyword(s) to the unclassified images

Notable image organizers

Name OS License Tagging Geotagging Facial
Recognition
Synchronizes
with Online
Library
Notability
ACDSee Windows Commercial Yes IPTC Exif XMP Yes No Yes ≤ 25GB to ACDSee online, flickr™, SmugMug, and Zenfolio Supports: >100 file formats, Unicode, batch processing, viewing contents of archives formats, non-destructive editing, DB export, R/W to CD, VCD, DVD. Contains: SMTP email client, FTP transport, duplicate file finder.
Adobe Photoshop Album Windows and Mac OS X Yes No No This product has been discontinued.
CodedColor PhotoStudio Pro Windows commercial Yes IPTC No No
digiKam KDE (Linux, Mac OS X, Windows) Free Yes IPTC Exif XMP Yes Yes Professional yet easy to use image management application database, collections of 100,000's of photos
Extensis Portfolio Windows and Mac OS X commercial Commercial Digital Asset Management solution.
FastStone Image Viewer Windows Free No
F-Spot GNOME Free Yes
gThumb GNOME Free Yes
IMatch Windows commercial Yes
iPhoto Mac OS X commercial Yes
iTag Windows Free Yes IPTC, XMP Yes
JBrout Cross platform Free Yes IPTC
KPhotoAlbum KDE Free
Lightroom (Adobe Photoshop) Windows Commercial Yes IPTC Exif XMP No Yes PicasaWeb and Flickr with plugins professional image management application database, asychronously catalog DVD collections of 10,000's of photos
PicaJet Windows commercial Yes Exif, IPTC XMP
Picasa / PicasaWeb Windows, OSX and Linux Freeware Yes IPTC Yes Yes Yes with PicasaWeb only 1GB free online storage, integrated with Google online tool suite
ResourceSpace Cross platform Free Yes IPTC XMP Exif Open source Digital Asset Management solution.
Shutterfly Studio Windows Freeware Yes
ThumbsPlus Windows
ViewMinder Windows XP and 2000
Windows Live Photo Gallery Windows Vista and XP Freeware
XnView Windows and Unix-like Free Yes IPTC Exif
Zoner Photo Studio Windows commercial Yes Exif IPTC XMP Yes No Using HTML templates
Name OS License Tagging Geotagging Facial
Recognition
Synchronizes
with Online
Library
Notability

See also

References

  1. ^ Cynthia Baron and Daniel Peck, The Little Digital Camera Book, July 1, 2002 pp:93
  2. ^ Julie Adair King, Shoot Like a Pro! Digital Photography July 28, 2003 pp:21-23
  3. ^ "Who’s got the tag? Database truth versus file truth" by Jon Udell 2007
  4. ^ http://www.oreillynet.com/digitalmedia/blog/2007/03/lightroom_and_the_future_of_or.html Lightroom and the future of organizing photos
  5. ^ http://www.ctr.columbia.edu/~jrsmith/html/pubs/PAMI/pami_final_1.html Automated Image Retrieval Using Color and Texture (1995)
  6. ^ http://portal.acm.org/citation.cfm?id=1232330.1232374&coll=GUIDE&dl=GUIDE Content-based object organization for efficient image retrieval in image databases (2006)
  7. ^ http://hcil.cs.umd.edu/trs/2004-15/2004-15.pdf Semi-Automatic Image Annotation Using Event and Torso Identification
  8. ^ http://www.ercim.org/publication/Ercim_News/enw62/wilcox.html Managing Digital Photo Collections
  9. ^ http://portal.acm.org/citation.cfm?id=957093 Temporal event clustering for digital photo collections

Additional reading

  • Multimedia Information Retrieval and Management: Technological Fundamentals and Applications by David Feng, W.C. Siu, Hong J. Zhang
  • Multimedia Networking: Technology, Management, and Applications by Syed Mahbubur Rahman
  • Multimedia and Image Management by Susan Lake, Karen Bean

External links


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Wikipedia. This article is licensed under the Creative Commons Attribution/Share-Alike License. It uses material from the Wikipedia article "Image organizer" Read more