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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Das, M. Loui, A. |
| Copyright Year | 2011 |
| Abstract | The goal of this work is to automatically detect frequently occurring groups of media in a user's collection that have a unifying theme. These groups provide a narrative structure that ties in images that are temporally far apart and cannot be browsed easily. The media in the collection is analyzed by a variety of algorithms to generate metadata of different types. The media and associated metadata are represented as a transactional database, and frequent item set mining is employed to detect frequently occurring groups of images that share several metadata in common. It is expected that a user's primary picture-taking interests (e.g., baby, garden, school sports, etc.), will appear as groups based on some combination of underlying metadata. A confidence and interest measure relevant to the consumer domain is used to determine the quality of the frequent item sets and create a list of the top "themes" within the collection. We also detect annually recurring groups in multi-year collections, as these capture common themes such as birthdays and holidays. Because the detected recurring groups are strictly data-driven (with no a priori assumptions about a user's collection), they are customized to the type of content in specific user's collections. Experiments with large user collections show the usefulness of our approach. |
| Starting Page | 300 |
| Ending Page | 307 |
| File Size | 639089 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781457716485 |
| DOI | 10.1109/ICSC.2011.70 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | media collection metadata Itemsets Image color analysis data mining Calendars Media Feature extraction clustering image understanding Data mining |
| Content Type | Text |
| Resource Type | Article |
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