This paper presents a commercial shot classification scheme combining well-designed visual and textual features to automatically detect TV commercials. To identify the inherent difference between commercials and general programs, a special mid-level textual descriptor is proposed, aiming to capture the spatio-temporal properties of the video texts typical of commercials. In addition, we introdu...

Detection of commercials in TV videos is difficult because the diversity of them puts up a high barrier to construct an appropriate model. In this work, we try to deal with this problem through a top-down approach. We take account of the domain knowledge of commercial production and extract features that describe the characteristics of commercials. According to the clues from speech-music discr...

In this paper, we describe the LIA system proposed for the MediaEval 2013 Soundtrack task. The aim is to predict the most suitable soundtrack from a list of candidate songs, given a TV commercial. The organizers provide a development dataset including multimedia features. The initial assumption of the proposed system is that commercials which sell the same type of product, also share the same m...

Television (TV) stations broadcast in the very high frequency (VHF; 30-300 MHz) and ultra high frequency (UHF; 300-900 MHz) bands. Opposite to the small cell philosophy popularized by modern wireless telephone service, free-to-air TV broadcast is historically driven by the need to extend the area of coverage, as doing so will garner a larger audience. So, commercial TV transmissions utilize tal...

With the arrival of low-cost high quality cameras, implicit user behaviour tracking is easier and it becomes very interesting for viewer modelling and content personalization in a TV context. In this paper, we present a comparison between three common algorithms of automatic head direction extraction for a person watching TV in a realistic context. Those algorithms compute the different rotatio...

P2P-TV is an emerging alternative to classical television broadcast systems. Leveraging possibilities offered by the Internet, several companies offer P2P-TV services to their customers. The overwhelming majority of these systems, however, is of closed nature, offering little insight on their traffic properties. For a better understanding of the P2PTV landscape, we performed measurement experim...

TV logo detection, tracking and removal play an important role in the applications of claiming video content ownership, logo-based broadcasting surveillance, commercial skipping, and program rebroadcasting with new logos. In this paper, we present a novel and robust framework using tensor method for these three tasks. First, we use tensor based generalized gradient and the OTSU binarization alg...