In public surveys, the most common complaint about television is the amount of violence depicted on the screen. More than half the programs shown on television are violent, and hundreds of studies have shown that viewing TV violence causes an increase in societal violence. Nevertheless, advertisers continue to sponsor violent programs. For an advertisement to be effective, people should be able...

In this paper, we present TV Scout, a recommendation system providing users with personalized TV schedules. The TV Scout architecture addresses the “cold-start” problem of information filtering systems, i.e. that filtering systems have to gather information about the user’s interests before they can compute personalized recommendations. Traditionally, gathering this information involves upfront...

Digital Video Recorders (DVRs) as innovative media technology are expected to have a major impact on the TV industry. This paper analyzes the impact of DVRs on the business model of Ad-TV program providers. It introduces the approach of program choice models which are well established in the media economics literature and enhances the traditional program choice models by taking into account dif...

The objective of this work is to determine if people are interacting in TV video by detecting whether they are looking at each other or not. We determine both the temporal period of the interaction and also spatially localize the relevant people. We make the following three contributions: (i) head pose estimation in unconstrained scenarios (TV video) using Gaussian Process regression; (ii) prop...

Personal Television is here via the advent of a new class of devices called personal video recorders (PVRs). These recorders change the user task from (a) selecting a specific channel to watch from the 100+ available channels to (b) finding something “good” to record from the 10,000+ shows broadcast each week. Recommender systems, such as the one described in this paper, will help track users’ ...

Broadcasted television shows are becoming more interactive. Some shows even let home viewers without professional equipment be part of a broadcasted television show. Staged Participatory Multimedia Events on TV take this approach another step further. In this type of television shows, viewers can not only participate in the show through interaction or videostreams, but also direct the show. In ...

Sparsity exploiting image reconstruction (SER) methods have been extensively used with Total Variation (TV) regularization for tomographic reconstructions. Local TV methods fail to preserve texture details and often create additional artifacts due to over-smoothing. Non-Local TV (NLTV) has been proposed as a solution to this but lacks continuous update and is computationally complex. In this pa...

Identifying people in video broadcast is by nature a multimodal task: persons can be identified thanks to biometric information (face or voice), or thanks to a reference to their identity in the overlaid text or the speech content. In the framework of the French evaluation program Repere, this paper presents a method for identifying speakers in videos without any a-priori models, based only on ...

This paper introduces a subtask of entity linking, called character identification, that maps mentions in multiparty conversation to their referent characters. Transcripts of TV shows are collected as the sources of our corpus and automatically annotated with mentions by linguistically-motivated rules. These mentions are manually linked to their referents through crowdsourcing. Our corpus compr...

Personal Television is here via the advent of a new class of devices called personal video recorders (PVRs). These recorders change the user task from (a) selecting a specific channel to watch from the 100+ available channels to (b) finding something “good” to record from the 10,000+ shows broadcast each week. Recommender systems, such as the one described in this paper, will help track users’ ...