Martin Klinkigt, Heiko Maus, Koichi Kise, Andreas Dengel
Title
Automatic Management of Large Images Databases
Journal
Proceedings of the 2009 International Conference on Multimedia, Information Technology and its Applications (MITA2009)
Pages
pp.23-24
Reviewed
Reviewed
Date
August 2009
Research fields
Object Recognition, Pattern recognition
Key
Klinkigt2009_MITA (id=1103)
Abstract
With an increasing amount of images a user would like to keep and share the desire for an adequate management for
these images raises. The normal folder structure which is available on nowadays computers can fulfill this task only non satisfying. Often an image contains more individual information than can be expressed by a hierarchical tree.
We introduce annotation techniques to support the user in this organization. Furthermore, we analyze how a
computer system could do this organization automatically to keep the amount of work for the user as low as possible.
Files
…
Export this publication
Tab-separated. Paste into the sheet starting at column A. Required fields that cannot be inferred are left blank.
Format definition
Edits apply immediately and stay in effect until you pick a style again or reset. First line is the default; add lines like "book: …" to override per type.
How to write the definition
Insert a field with braces like {authors}. A part enclosed in [ ... ] is omitted entirely when any field inside it is empty. Available fields:
One macro per line as \name{field}{field}…. A field name in braces is replaced by its (LaTeX-escaped) value; other text is kept. Rename macros or add lines freely — they appear in the macro selector. A line like master_thesis: thesis fixes the macro for a type (automatic choice: journals use paperdoi with a DOI, paperno with a number, else paper; conferences conf with pages, else confpaper; books book). {pages} comes as 119--124; {journal} falls back to the book title. Fields: