@article{1025,
  author = {Sher Muhammad Doudpota, Muhammad Sharif Abbasi , Javed Ahmed Shahani},
  title = {Shot-Based Main Actors Detection in Musicals},
  journal = {Progress in Machines and Systems},
  year = {2012},
  volume = {1},
  number = {2},
  doi = {},
  url = {http://www.dline.info/pms/fulltext/v1n2/4.pdf},
  abstract = {Music and songs are natural way of expressing emotions in South Asian movies. The video clips of these songs are also sold in huge volume in CDs and cassettes market in South Asian countries and countries where there is significant population of Asians. The growing ease in hosting multimedia contents has resulted in huge increase of such songs video clip available online. The search and indexing of online databases having these video songs is a challenging task. A common user usually likes to search a song based on many criteria, e.g. the genre of a song, and on-screen actor performing in a song. Currently, the genre and actor information for a song is available in an attached textual tag, which usually is added by a user who uploads the song. Any indexing or searching system can not solely depend on the genre or actor information provided by an ordinary user, who may, sometimes ignore to include such information. The potential solution to the problem is content based analysis of these video songs. In this paper, we propose a shot based main actor detection in Bollywood video songs. We first detect the shots in a song which most probably contain the main actor faces, followed by filtering out the extras faces that might be accompanied with main actor, and finally displaying the main actor performing in that song video.},
}