THE SCIENTIFIC BUSINESS OF THOMSON REUTERS TO OFFER PLAGIARISM DETECTION SERVICE VIA MANUSCRIPT CENTRAL IN CONJUNCTION WITH CROSSCHECK
Manuscript Central v4.2 to Offer its Customers Access to Services Verifying the Originality of All Scholarly Content Submitted on the System
Philadelphia , PA USA - May 1, 2008 - The Scientific business of Thomson Reuters today announced that Manuscript Central’s online workflow system will incorporate the iThenticate checking tool into its submission and peer review process, and will develop suitable policies and guidelines. CrossRef recently announced an agreement with iParadigms, LLC to launch the CrossCheck service to aid in verifying the originality of scholarly content. Following on the success of CrossRef’s recent pilot of CrossCheck, the service is scheduled to go live in June and will be offered via Manuscript Central.
Manuscript Central’s integration with the iThenticate tool will allow CrossCheck member journals and publishers to send submissions for comparison to the iThenticate service at any point in the peer review or acceptance workflow. With status indicators and a quick view of comparison results, journals will be enabled to investigate suspected documents much further back in the peer review process, potentially saving valuable time and resources in the peer review workflow.
We propose a joint optical flow and principal component analysis (PCA) method for motion detection. PCA is used to analyze optical flows so that major optical flows corresponding to moving objects in a local window can be better extracted. This joint approach can efficiently detect moving objects and more successfully suppress small turbulence. It is particularly useful for motion detection from outdoor videos with low quality. It can also effectively delineate moving objects in both static and dynamic background. Experimental results demonstrate that this approach outperforms other existing methods by extracting the moving objects more completely with lower false alarms.