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It is our great pleasure to welcome you to the 2011 ACM International Workshop on Automated Media Analysis and Production for Novel TV Services -- AIEMPro'11.
The workshop aims at exploring the application and evaluation of automated information extraction techniques and audiovisual content analysis tools to support future media production for novel TV services. This proposal follows in a series of previous events, the first in conjunction with DEXA 2008 (AIEMPro08), the second in conjunction with WIAMIS 2009 (AIEMPro09), and the third in conjunction with ACM Multimedia 2010 (AIEMPro10). This year, following a successful merge with the CBTV workshop (held in 2009 in conjunction with the IEEE International Symposium on Multimedia), the full title of the workshop changed to reflect the broader domain addressed.
The significant increase in the amount of digital video content (TV channels in particular), and the diversification of broadcast possibilities and storage devices, have recently given rise to the emergence of many new services and novel TV programmes consumption schemes and usage trends. These new services are aimed at making broadcast content available to consumers according to their needs, i.e., without any constraint on location and/or time and with the possibility to cherry pick and navigate according to the viewers, desire. These services have been proven to be very effective in significantly increasing the content audience and open new niches for profitable use of broadcast content. Examples of such services are TV-on-demand, interactive TV, Personal Video Recorders, Catch-Up TV. This explosion of new media distribution and consumption paradigms and the corresponding new production workflows based on digital computer-based tools require an immediate revision of the traditional ways of making business in media industry. These evolutions are progressively substituting the traditional one-to-many broadcasting model. To cope with these trends, broadcasters are revolutionizing their point of view, trying to embrace these new models into their facilities.
This year, the workshop continues its tradition of being at the crossroad between the scientific community and the broadcasters and media producers community, by presenting a program which shows how cutting-edge technologies can be fruitfully employed in daily productions. With this effort, we hope to demonstrate that a fruitful interaction can be established between industry operators and research, paving the way to a season of collaboration that sees users' requirements and scientific developments going along and reach successful achievements.
Proceeding Downloads
Sequence-based kernels for online concept detection in video
Kernel methods, e.g. Support Vector Machines, have been successfully applied to classification problems such as concept detection in video. In order to capture concepts and events with longer temporal extent, kernels for sequences of feature vectors ...
News story clustering from both what and how aspects: using bag of word model and affinity propagation
The 24-hour news TV channels repeat the same news stories again and again. In this paper we cluster hundreds of news stories broadcasted in a day into dozens of clusters according to topics, and thus facilitate efficient browsing and summarization. The ...
From audio recurrences to TV program structuring
This paper addresses the problem of unsupervised detection of recurrent audio segments in TV programs toward program structuring. Recurrent segments are the key elements in the process of program structuring. This allows a direct and non linear access ...
Speech recognition tools in a media retrieval system
Broadcast video retrieval is a key issue for media researchers looking for suitable media material in archives. Current media retrieval applications in use at VRT have proven to be a suboptimal solution. In this paper, we explain a novel search ...
Picture-in-picture copy detection using spatial coding techniques
Picture-in-Picture (PiP) is a special video transformation where one or more videos is scaled and spatially embedded in a host video. PiP is a very useful service to watch two or more videos simultaneously, however it can be exploited to visually hide ...
Produce. annotate. archive. repurpose --: accelerating the composition and metadata accumulation of tv content
Supporting most aspects of a media provider's real workflows such as production, distribution, content description, archiving, and re-use of video items, we developed a holistic framework to solve issues such as lack of human resources, necessity of ...
- Proceedings of the 2011 ACM international workshop on Automated media analysis and production for novel TV services