Efficient Session-Based Watermarking for ABR TV using Sample Variants (2018)

By Raj Nair & Prabhu Navali, Ericsson Media Solutions

Session-based watermarking is on track to becoming a requirement for premium content (4K, Early Window, etc). A common approach to watermarking for ABR delivery is to use manifest files to create streams that are uniquely identified by the segment sequences. However, the storage requirements of the content is a multiple of the number of variants of a segment. In this paper, we discuss an efficient way of creating watermarked segment variants using the Sample Variants approach. Here only a small percent storage overhead is needed for each segment variant. Another advantage is that this approach scales to handle a larger population of viewers by using multiple variants with the same resource cost.

By clicking the "Download Paper" button, you are agreeing to our terms and conditions.

Similar Papers

Software-Defined Service Orchestration for MABR TV Services
By Prabhu Navali & Raj Nair, Ericsson Media Solutions
2018
Effective Utilization Of M-ABR (Multicast Assisted ABR) Using Big
By Sridhar Kunisetty, Jeffrey Tyre, and Robert Myers, ARRIS
2016
Smart ABR: The Future Of Managed Ip Video Services
By John Ulm, Ajay Luthra, Praveen Moorthy, Mark Schmidt, Haifeng Xu, ARRIS, Inc.
2013
Cost Effective Watermarking In The Set Top Box
By Joseph Oren, Cinea Inc. a Dolby Company
2008
Applying Digital Watermarking To Home Entertainment Content Delivery Networks
By Reza Rassool, Widevine Technologies Inc.
2006
Leveraging IP ABR Video Delivery for Linear QAM TV
By Weidong Mao, Comcast Cable and David Brouda, Imagine Communications
2015
Next Generation Video Infrastructure: Media Data Center Architecture
By Gene Cannella, R. Wayne Ogozaly, Cisco Systems
2011
An Architectural Approach Towards Achieving Bandwidth Efficient Content Delivery
By Dinkar Bhat, Navneeth Kannan, and Wendell Sun, ARRIS
2016
An SDN Based Approach To Measuring And Optimizing ABR Video Quality Of Experience
By Sangeeta Ramakrishnan, Xiaoqing Zhu, Cisco Systems
2014
Using Digital Identity to Drive Personalization, User Experience and Monetization
By Doug Fantuzzi, Amdocs Media & Entertainment Solutions
2017
More Results >>