Generalized best-first search strategies and the optimality of A*
Journal of the ACM (JACM)
The nature of statistical learning theory
The nature of statistical learning theory
Fast multiresolution image querying
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Machine Learning
Making large-scale support vector machine learning practical
Advances in kernel methods
Discrete Time Processing of Speech Signals
Discrete Time Processing of Speech Signals
Wavelets for Computer Graphics: A Primer, Part 1
IEEE Computer Graphics and Applications
Finding Interesting Associations without Support Pruning
IEEE Transactions on Knowledge and Data Engineering
Similarity Search in High Dimensions via Hashing
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Universal classes of hash functions (Extended Abstract)
STOC '77 Proceedings of the ninth annual ACM symposium on Theory of computing
Computer Vision for Music Identification
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Journal of Cognitive Neuroscience
Video Fingerprinting by Using Boosted Features
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Efficient and robust music identification with weighted finite-state transducers
IEEE Transactions on Audio, Speech, and Language Processing
Robust audio identification for MP3 popular music
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
A novel audio fingerprinting method robust to time scale modification and pitch shifting
Proceedings of the international conference on Multimedia
An efficient audio fingerprint design for MP3 music
Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
Google's hybrid approach to research
Communications of the ACM
A local fingerprinting approach for audio copy detection
Signal Processing
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In this paper, we present Waveprint, a novel method for audio identification. Waveprint uses a combination of computer-vision techniques and large-scale data-stream processing algorithms to create compact fingerprints of audio data that can be efficiently matched. The resulting system has excellent identification capabilities for small snippets of audio that have been degraded in a variety of manners, including competing noise, poor recording quality and cell-phone playback. We explicitly measure the tradeoffs between performance, memory usage, and computation through extensive experimentation. The system is more efficient in terms of memory usage and computation, while being more accurate when compared with previous state of the art systems. The applications of Waveprint include song identification for end-consumer use, copyright protection for audio assets, copyright protection for television assets and synchronization of off-line audio sources, such as live television.