Selecting forensic features for robust source camera identification
Hu, Yongjian and Li, Chang-Tsun (2010) Selecting forensic features for robust source camera identification. In: International Computer Symposium 2010, Tainan, Taiwan, 16-18 Dec, 2010Full text not available from this repository.
Official URL: http://ics-2010.csie.ncku.edu.tw/
Statistical image features play an important role in forensic identification. Current source camera identification schemes select image features mainly based on classification accuracy and computational efficiency. For forensic investigation purposes, however, these selection criteria are not enough. Consider most real-world photos may have undergone common image processing due to various reasons, source camera classifiers must have the capability to deal with those processed photos. In this work, we first build a sample camera classifier using a combination of popular image features, and then reveal its deficiency. Based on our experiments, suggestions for the design of robust camera classifiers are given.
|Item Type:||Conference Item (Paper)|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software|
|Divisions:||Faculty of Science > Computer Science|
|Official Date:||December 2010|
|Status:||Not Peer Reviewed|
|Conference Paper Type:||Paper|
|Title of Event:||International Computer Symposium 2010|
|Type of Event:||Conference|
|Location of Event:||Tainan, Taiwan|
|Date(s) of Event:||16-18 Dec, 2010|
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