Content identification: binary content fingerprinting versus binary content encoding

Sohrab Ferdowsi; Svyatoslav Voloshynovskiy; Dimche Kostadinov

doi:10.1117/12.2039482

19 February 2014 Content identification: binary content fingerprinting versus binary content encoding

Sohrab Ferdowsi, Svyatoslav Voloshynovskiy, Dimche Kostadinov

Proceedings Volume 9028, Media Watermarking, Security, and Forensics 2014; 90280P (2014) https://doi.org/10.1117/12.2039482
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

In this work, we address the problem of content identification. We consider content identification as a special case of multiclass classification. The conventional approach towards identification is based on content fingerprinting where a short binary content description known as a fingerprint is extracted from the content. We propose an alternative solution based on elements of machine learning theory and digital communications. Similar to binary content fingerprinting, binary content representation is generated based on a set of trained binary classifiers. We consider several training/encoding strategies and demonstrate that the proposed system can achieve the upper theoretical performance limits of content identification. The experimental results were carried out both on a synthetic dataset with different parameters and the FAMOS dataset of microstructures from consumer packages.

Citation Download Citation

Sohrab Ferdowsi, Svyatoslav Voloshynovskiy, and Dimche Kostadinov "Content identification: binary content fingerprinting versus binary content encoding", Proc. SPIE 9028, Media Watermarking, Security, and Forensics 2014, 90280P (19 February 2014); https://doi.org/10.1117/12.2039482

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available