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Efficient In-Network Adaptation of Encrypted H.264/SVC Content

by Hermann Hellwagner, Robert Kuschnig, Thomas Stütz, Andreas Uhl , 2009
"... This paper addresses the efficient adaptation of encrypted scalable video content (H.264/SVC). RTP-based in-network adaptation schemes on a media aware network element (MANE) in an IPTV and VoD scenario are considered. Two basic alternatives to implement encryption and adaptation of H.264/SVC conten ..."
Abstract - Cited by 10 (5 self) - Add to MetaCart
content are investigated: (i) full, format-independent encryption making use of Secure RTP (SRTP); (ii) SVC-specific encryption that leaves the metadata relevant for adaptation (NAL unit headers) unencrypted. The SRTP-based scheme (i) is straightforward to deploy, but requires the MANE

The Ninja Pro (CTI) SIP Softclient with Type 1 encryption

by C. B. Roellgen , 2010
"... Existing encryption schemes for VoIP audio/video telephone conversations are only secure under the assumption that the employed lightweight encryption algorithms are secure, that the telephony server is not manipulated and that no Man-in-the-Middle Attack is mounted on any endpoint. A new encryption ..."
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encryption method that entirely overcomes the shortcomings of existing encryption schemes like SRTP is presented in this paper. The presented scheme is based on proven technology that has received plenty of peer review and that provides for real security even if financially powerful Intelligence Agencies

Offline Handwritten Word Recognition Using A Hybrid Neural Network And Hidden Markov Models

by Yong Haur Tay, Pierre-michel Lallican, Marzuki Khalid, Christian Viard-Gaudin, Stefan Knerr , 2001
"... This paper describes an approach to combine neural network (NN) and Hidden Markov models (HMM) for solving handwritten word recognition problem. The preprocessing involves generating a segmentation graph that describes all possible ways to segment a word into letters. To recognize a word, the NN com ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
present a structural training scheme to improve the performance of the recognizer. An offline handwritten word recognizer is developed based on this approach and the recognition performance of the recognizer on three isolated word image databases, namely, IRONOFF, SRTP and AWS, are presented. 1.
Results 1 - 3 of 3