Audio fingerprinting to identify TV commercial advertisement in real-noisy environment
| Title | Audio fingerprinting to identify TV commercial advertisement in real-noisy environment |
| Publication Type | Conference Paper |
| Year of Publication | 2014 |
| Authors | Jun-Yong Lee, Hyoung-Gook Kim |
| Conference Name | Communications and Information Technologies (ISCIT), 2014 14th International Symposium on |
| Date Published | Sept |
| Keywords | acoustic noise, audio content identification, Audio fingerprinting, audio fingerprinting extraction method, audio signal processing, Constant Q Transform, CQT, Databases, feature extraction, Fingerprint recognition, Noise, real-noisy environment, Robustness, salient audio peak pair fingerprints, Servers, television broadcasting, Time-frequency Analysis, Transforms, TV, TV commercial advertisement identification |
| Abstract | This paper proposes a high-performance audio fingerprint extraction method for identifying TV commercial advertisement. In the proposed method, a salient audio peak pair fingerprints based on constant Q transform (CQT) are hashed and stored, to be efficiently compared to one another. Experimental results confirm that the proposed method is quite robust in different noise conditions and improves the accuracy of the audio fingerprinting system in real noisy environments. |
| DOI | 10.1109/ISCIT.2014.7011969 |
| Citation Key | 7011969 |
- Noise
- TV commercial advertisement identification
- TV
- Transforms
- Time-frequency Analysis
- television broadcasting
- Servers
- salient audio peak pair fingerprints
- Robustness
- real-noisy environment
- acoustic noise
- Fingerprint recognition
- feature extraction
- Databases
- CQT
- Constant Q Transform
- audio signal processing
- audio fingerprinting extraction method
- Audio fingerprinting
- audio content identification