2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDIFS-2.3
Paper Title CNN-BASED VIDEO CODEC CLASSIFIER FOR MULTIMEDIA FORENSICS
Authors Rodrigo Pessoa, Anil Kokaram, Francois Pitie, Trinity College Dublin, Ireland; Mark Sugrue, Kinesense Limited (Ireland), Ireland
SessionIFS-2: Information Forensics and Security
LocationArea K
Session Time:Monday, 20 September, 15:30 - 17:00
Presentation Time:Monday, 20 September, 15:30 - 17:00
Presentation Poster
Topic Information Forensics and Security: Multimedia forensics
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Abstract In video forensics, identification of codec type is complicated by a lack of standards compliant compressed bitstreams. Previous work is unable to identify codec types without actually decoding the file successfully. This paper presents a CNN classifier derived from the AlexNet architecture that can detect codec types without decoding the bitstream. It is based on classification of the raw bitstream data itself without decoding. The algorithm is tested on real data in a video forensics setting as well as user generated content supplied in the YouTube test set. Our results show better than 96.73% accuracy with over 43 combinations of codec/containers and, at least, 88.59% accuracy at 20% data corruption across both test sets.