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Content Acquisition Processing, Monitoring, and Forensics for AT&T Services (CONSENT), CONSENT provides a platform for detection and analysis of content for security and quality assurance.

The definitive version was published in proceedings of TV Content Analysis (CRC Press/Taylor & Francis). , 2012-02-22, http://mklab.iti.gr/tvca/

Over the years the fidelity and quantity of TV content has steadily increased, but consumers are still experiencing considerable difficulties in finding the content matching their personal interests. New mobile and IP consumption environments have emerged with the promise of ubiquitous delivery of desired content, but in many cases, available content descriptions in the form of electronic program guides lack sufficient detail and cumbersome human interfaces yield a less than positive user experience. Creating metadata through a detailed manual annotation of TV content is costly and, in many cases, this metadata may be lost in the content life-cycle as assets are repurposed for multiple distribution channels. Content organization can be daunting when considering domains from breaking news contributions, local or government channels, live sports, music videos, documentaries up through dramatic series and feature films. As the line between TV content and Internet content continues to blur, more and more long tail content will appear on TV and the ability to be able to automatically generate metadata for it becomes paramount. Research results from several disciplines must be brought together to address the complex challenge of cost effectively augmenting existing content descriptions to facilitate content personalization and adaptation for users given todays range of content consumption contexts.This chapter presents systems architectures for processing large volumes of video efficiently, practical, state of the art solutions for TV content analysis and metadata generation, and potential applications that utilize this metadata in effective and enabling ways.

(c) ACM, 2011. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Internet Measurement Conference. , 2011-11-02.

{In large-scale IPTV systems, it is essential to maintain high service quality while providing a wider variety of service features than typical traditional TV. Thus service quality assessment systems are of paramount importance as they monitor the user-perceived service quality and alert when issues occurs. For IPTV systems, however, there is no simple metric to represent user-perceived service quality and Quality of Experience (QoE).Moreover, there is only limited user feedback, often in the form of noisy and delayed customer complaints. Therefore, we aim to approximate the QoE through a selected set of performance indicators in a proactive (i.e., detect issues before customers complain) and scalable fashion. In this paper, we present service quality assessment framework, Q-score, which accurately learns a small set of performance indicators most relevant to user-perceived service quality, and proactively infers service quality in a single score. We evaluate Q-score using network data collected from a commercial IPTV service provider and show that Q-score is able to predict 60% of service problems that are complained by customerswith 0.1%of false positives. ThroughQ-score, we have (i) gained insight into various types of service problems causing user dissatisfaction includingwhy users tend to react promptly to sound issues while late to video issues; (ii) identified and quantified the opportunity to proactively detect the service quality degradation of individual customers before severe performance impact occurs; and (iii) observed possibility to adaptively allocate customer care workforce to potentially troubling service areas.}

{We describe a prototype, network-based, video email service targeted to run on a variety of thin clients from PCs to digital cable set-top boxes. Email is an attractive starting place for video in the home: (i) it is a familiar means of communicating for many, (ii) its privacy concerns are smaller than for interactive video, and (iii) its "critical mass" requirements may be small since only senders need complete video systems. Nonetheless, most video email systems are still cumbersome in terms of hardware, storage and installation processes. In contrast, our system architecture requires little client storage since the video is streamed to a network-based media server while it is being recorded. The email recipient receives a message that contains a reference to the network-stored video file, and it is streamed down for viewing. We describe the User Experience design challenges associated with implementing the system for digital cable set-top boxes. Publisher: Lawrence Erlbaum and Associates Pub/Conf: HCI International Conference Proceedings, 2001 }