Recognition of channel logos from streamed videos for value added services in connected TV

This paper presents a novel method for recognizing the channel logos from the streamed videos in real time, which has various applications for value added services in the connected TV space. The results presented are based on the accuracy and performance in terms of time complexity of the channel logo recognition algorithm. The prototype is developed in X86 platform and then ported on a commercially available DSP with nearly 100% accuracy in real time.

[1]  A. Aydin Alatan,et al.  A fast method for animated TV logo detection , 2008, 2008 International Workshop on Content-Based Multimedia Indexing.

[2]  Ahmet Ekin,et al.  Spatial detection of tv channel logos as outliers from the content , 2006, Electronic Imaging.

[3]  Bülent Sankur,et al.  Automatic TV logo detection and classification in broadcast videos , 2009, 2009 17th European Signal Processing Conference.

[4]  T. Chattopadhyay,et al.  Generation of electronic program guide for RF fed TV channels by recognizing the channel logo using fuzzy multifactor analysis , 2010, IEEE International Symposium on Consumer Electronics (ISCE 2010).

[5]  Arpan Pal,et al.  Home Infotainment Platform - A Ubiquitous Access Device for Masses , 2010, UCMA.

[6]  M. Skolnik,et al.  Introduction to Radar Systems , 2021, Advances in Adaptive Radar Detection and Range Estimation.

[7]  Ling-Yu Duan,et al.  A Robust Method for TV Logo Tracking in Video Streams , 2006, 2006 IEEE International Conference on Multimedia and Expo.