Without doubt general video and sound, as found in large multimedia archives, carry emotional information. Thus, audio and video retrieval by certain emotional categories or dimensions could play a central role for tomorrow's intelligent systems, enabling search for movies with a particular mood, computer aided scene and sound design in order to elicit certain emotions in the audience, etc. Yet...

The role of entertainment in the U.S. World War II propaganda seems well known, but media connections are rarely tackled. This article studies way Hollywood musicals contributed to American war at confluence various featuring musical numbers where stars appeared as themselves: radio and stage vaudeville. era called for an intensification links between media, notably involvement personalities on...

State of the art of the high level feature detectors, as violent scene detectors, are supervised systems. The aim of our proposition is to show that simple non supervised confidence function derived from straightforward features can perform well compared to nowdays supervised systems for this kind of hard task. Then, we develop a violent event detector independent of the kind of movies based on...

Hollywood has often been called the land of hunches and wild guesses. The uncertainty associated with the predictability of product demand makes the movie business a risky endeavor. Therefore, predicting the box-office receipts of a particular motion picture has intrigued many scholars and industry leaders as a difficult and challenging problem. In this study, with a rather large and feature ri...

We are given a set of video clips, each one annotated with an ordered list of actions, such as “walk” then “sit” then “answer phone” extracted from, for example, the associated text script. We seek to temporally localize the individual actions in each clip as well as to learn a discriminative classifier for each action. We formulate the problem as a weakly supervised temporal assignment with or...

The Violent Scenes Detection task continues to pose challenge in detecting violent scenes in Hollywood movies. In this working notes paper, we present the framework of our system and briefly discuss the performance results obtained in both objective and subjective subtasks. Besides using the low-level features for training the SVM classifiers for violent scenes detection, we show the feasibilit...

This paper describes the participation of the TUB-IRML group to the MediaEval 2014 Violent Scenes Detection (VSD) affect task. We employ lowand mid-level audio-visual features fused at the decision level. We perform feature space partitioning of training samples through k -means clustering and train a different model for each cluster. These models are then used to predict the violence level of ...

0167-8655/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.patrec.2011.05.001 ⇑ Corresponding author. E-mail address: [email protected] (L. Shao) Content-based video retrieval is an increasingly popular research field, in large part due to the quickly growing catalogue of multimedia data to be found online. Even though a large portion of this data concerns humans, however, retrieva...