Discriminative regions: A substrate for analyzing life-logging image sequences
Research output: Contribution to journal › Conference article › Research › peer-review
Life-logging devices are becoming ubiquitous, yet still processing and extracting information from the vast amount of data that is being captured is a very challenging task. We propose a method to find discriminative regions which we define as regions that are salient, consistent, repetitive and discriminative. We explain our fast and novel algorithm to discover the discriminative regions and show different applications for discriminative regions such as summarization, classification and image search. Our experiments show that our algorithm is able to find discriminative regions and discriminative patches in a short time and extracts great results on our life-logging SenseCam dataset.
Original language | English |
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Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Pages (from-to) | 357-368 |
Number of pages | 12 |
ISSN | 0302-9743 |
DOIs | |
Publication status | Published - 2015 |
Externally published | Yes |
Event | 21st International Conference on MultiMedia Modeling, MMM 2015 - Sydney, Australia Duration: 5 Jan 2015 → 7 Jan 2015 |
Conference
Conference | 21st International Conference on MultiMedia Modeling, MMM 2015 |
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Country | Australia |
City | Sydney |
Period | 05/01/2015 → 07/01/2015 |
Sponsor | Australia Government AusAID, Business Events Australia, Business Events Sydney, Qantas, The University of Technology |
Bibliographical note
Publisher Copyright:
© Springer International Publishing Switzerland 2015.
ID: 301829582