Paper Info
Title
Capacity improvement for a blind symbolic music score watermarking technique
Abstract
Current music score watermarking techniques either lack in robustness or in capacity: While embedding data into staff lines guarantees a certain payload, modulation of the staff lines' thickness can be attacked using image processing techniques. Changing properties of musical symbols is more robust. But, the number of musical symbols limits the payload. Therefore, we propose the following method: The staff lines' distances are used as a carrier signal for embedding information. Changes are applied by using an image warping technique to reduce artifacts. Image warping techniques can also be applied locally to music symbols to change their properties, e.g. their horizontal distance or their width. Thus, quality improves. Furthermore, musical symbols doesn't have to be recognized. It is sufficient to cluster the symbols according to their properties and to treat symbols of the same cluster equally. The described method guarantees a minimum payload and increased robust. The application of image warping techniques reduces visible distortion. The results are visual appealing music scores. Capacity improvement can be achieved by applying the proposed methods to music symbols.
Year
DOI
Venue
2002
10.1117/12.465277
Proceedings of SPIE
Keywords
Field
DocType
blind detection,music score,watermarking
Computer vision,Digital watermarking,Image warping,Embedding,Image processing,Robustness (computer science),Artificial intelligence,Musical note,Distortion,Mathematics,Payload
Conference
Volume
ISSN
Citations 
4675
0277-786X
3
PageRank 
References 
Authors
0.41
0
1
Name
Order
Citations
PageRank
Martin Schmucker113816.11