In this paper, we present a method to remove commercials from interview videos, and to segment interviews into host or interviewee shots. In our approach, we mainly rely on information contained in shot transitions, rather than analyzing the scene content of individual frames. We utilize the inherent differences in scene structure of commercials and interviews to differentiate between them. Sim...

This paper examines video retrieval based on Query-By-Example (QBE) approach, where shots relevant to a query are retrieved from large-scale video data based on their similarity to example shots. This involves two crucial problems: The first is that similarity in features does not necessarily imply similarity in semantic content. The second problem is an expensive computational cost to compute ...

The aim of the present study was to analyze men's football competitions, trying to identify which game-related statistics allow to discriminate winning, drawing and losing teams. The sample used corresponded to 380 games from the 2008-2009 season of the Spanish Men's Professional League. The game-related statistics gathered were: total shots, shots on goal, effectiveness, assists, crosses, offs...

In this paper videos are analyzed to get a content-based decription of the video. The structure of a given video is useful to index long videos eeciently and automatically. A comparison between shots gives an overview about cut frequency, cut pattern, and scene bounds. After a shot detection the shots are grouped into clusters based on their visual similarity. A time-constraint clustering proce...

BACKGROUND AND OBJECTIVES The Group on Immunization Education (GIE) of the Society of Teachers of Family Medicine (STFM) has developed Shots by STFM immunization software, which is available free of charge for a variety of platforms. It is routinely updated with the Center for Disease Control and Prevention's (CDC's) most recent immunization schedules. Successful development and marketing of te...

This work aims at recovering the temporal structure of a broadcast tennis video from an analysis of the raw footage. Our method relies on a statistical model of the interleaving of shots, in order to group shots into predefined classes representing structural elements of a tennis video. This stochastic modeling is performed in the global framework of Hidden Markov Models (HMMs). The fundamental...