This technical report describes the investigation and development necessary to measure the Quality Assurance of different chosen format media including: audio, web, documents, images and tools themselves.
For audio material an approach that uses cross correlation to compare sound waves and find the best overlap is described. A solution for documents is proposed based on Windows Azure by using a number of key Microsoft technologies. A toolset that efficiently detects corresponding images between different image collections as well as to assess their quality is proposed for images. For web archives, a new approach based on page segmentation and supervised framework is described. Document MSR. Different QA tools for images and PDF files are also presented in this report.
All these approaches are implemented and packaged for easy installation with their related Taverna workflow. In this report, correctness based benchmarking results for each approach is presented.
14.06. 2013
