@article{MAKHILLAJIT20121145710,
    title = {A Robust Video Copy Detection System Using TIRI-DCT Fingerprints and DWT Statistical Features},
    journal = {Asian Journal of Information Technology},
    volume = {11},
    number = {4},
    pages = {144-150},
    year = {2012},
    issn = {1682-3915},
    doi = {ajit.2012.144.150},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2012.144.150},
    author = {S. and},
    keywords = {Content-based fingerprints,feature extraction,copyright protection,video copy detection,video matching,clusters,fingerprints},
    abstract = {A video copy detection system that is based on content fingerprinting 
  can be used for video indexing and copyright applications. Most of the video 
  copy detection algorithms proposed so far focus mostly on coping with signal 
  distortions introduced by different encoding parameters; however, these algorithms 
  do not cope well with display format conversions. They may rely on a fingerprint 
  extraction algorithm followed by a fast approximate search algorithm. The fingerprint 
  extraction algorithm extracts compact content-based signatures from special 
  images constructed from the video. Each such image represents a short segment 
  of the video and contains temporal as well as spatial information about the 
  video segment. These images are denoted by temporally informative representative 
  images. To find whether a query video is copied from a video in a video database, 
  the fingerprints of all the videos in the database are extracted and stored 
  in advance. The search algorithm searches the stored fingerprints to find close 
  enough matches for the fingerprints of the query video. The content based fingerprint 
  extraction process does not work to get a better level search. Further in an 
  enhancement of this concept of fingerprints this system handles the TIRI-DCT 
  and DWT features to detect the copyright information. This study proposes a 
  novel sequence matching technique to detect copies of a video clip. If a video 
  copy detection technique is to be effective, it needs to be robust to the many 
  digitization and encoding processes that give rise to several distortions including 
  changes in brightness, color, frame format as well as different blocky artifacts. 
  It also handles a new nonmetric distance measure to find the similarity between 
  the query and a database video fingerprint and it is proposed to achieve accurate 
  duplicate detection. Then the performance of the TIRI DCT and the co-efficient 
  is compared. The proposed method has been extensively tested and the results 
  show that the proposed scheme is effective in detecting copies which has been 
  subjected to wide range of modifications.}
    }