Automatic Trademark Detection and Recognition in Sport Videos

recognition of trademarks in sports videos. Here we propose a compact
representation of trademarks based on SIFT feature points and a
matching algorithm to robustly detect and retrieve trademarks in a
variety of different sports video types. Trademark localization
is performed through robust clustering of matched feature points in
the video frame. Also, A supervised machine learning approach is used
to automatically adapt the similarity threshold used to assess the
trademark matches. Experimental results are provided, along with an
analysis of the precision and recall. Results show that our proposed
technique is efficient and effectively detects and classifies
trademarks.