Combining content analysis of television programs with quantitative audience measurement can provide insights 
   into customer reactions to advertisements and program content.  This work introduces a system architecture that 
   incorporates anonymous audience metrics from an operational IPTV environment with metadata from a content-based
   analysis of recorded programs.  Evaluated on a collection of news programs, the system verifies that events derived
   from the audience metrics data stream correspond to media segmentation boundaries such as commercial breaks and 
   topic changes. An automated system for executing multimodal media segmentation algorithms for commercial break and 
   topic change detection is also discussed. Better understanding of audience reaction can help IPTV service providers 
   plan infrastructure investments and help in managing multimedia content delivery networks.
	att_authors={dg1597, zl3194, ez2685, rj2124, bs1261},
	att_categories={C_CCF.10, C_IIS.5},
	att_copyright_notice={This version of the work is reprinted here with permission of IEEE for your personal use. Not for redistribution. The definitive version was published in IEEE Consumer Communications and Networking Conference. {{, 2012-01-15}}

The definitive version was published in Advertising Research Foundation. {{, 2012-01-15}}
	att_tags={content processing,  video},
	author={David Gibbon and Zhu Liu and Eric Zavesky and DeDe Paul and Deborah Swayne and Rittwik Jana and Behzad Shahraray},
	institution={IEEE Consumer Communication and Networking Conference, (CCNC)},
	title={Combining Content Analysis of Television Programs with Audience Measurement},