@inproceedings {367,
	title = {Practical perceptually adaptive approach to video logo placement in TV broadcasts},
	booktitle = {20th Canadian Conference on Electrical and Computer Engineering},
	year = {2007},
	abstract = {<p>A common technique used by broadcast stations for video copyright protection is video logo placement, where a logo indicating ownership is inserted into the video broadcast in a visible way. This paper presents a practical algorithm that performs adaptive video logo placement in TV broadcasts based on a perceptual model from both spatial and temporal perspectives. The algorithm adjusts the position and the transparency of the video logo based on content activity, inter-frame relationships, and contrast with the goal of reducing overall perceptual loss while maintaining logo visibility. The algorithm is computationally efficient and suitable for video logo placement in live broadcasts. Experimental results show that the adaptive video logo placement algorithm achieves a good balance between perceptual quality and logo clarity.</p>
},
	keywords = {copy protection, copyright, copyright protection, digital video broadcasting, perceptually adaptive approach, television stations, TV broadcast station, video logo placement, video signal processing},
	doi = {http://dx.doi.org/10.1109/CCECE.2007.204},
	author = {A Wong and W Bishop}
}
@inproceedings {510,
	title = {Automated analysis and detection of cracks in underground scanned pipes},
	booktitle = {International Conference on Image Processing},
	year = {1999},
	abstract = {<p>Closed circuit television (CCTV) surveys are used widely in North America to assess the structural integrity of underground pipes. The video images are examined visually and classified into grades according to degrees of damage. The human eye is extremely effective at recognition and classification, but it is not suitable for assessing pipe defects in thousands of miles of pipeline images due to fatigue, subjectivity and cost. This paper presents ongoing research into the automatic assessment of the structural condition of underground pipes for the purpose of preventive maintenance by municipalities</p>
},
	keywords = {CCTV, civil engineering computing, closed circuit television, crack analysis, Crack detection, Feature Extraction, image classification, image recognition, maintenance engineering, pipe defects, preventive maintenance, underground pipe structural integrity, underground scanned pipes, video images, video signal processing},
	doi = {http://dx.doi.org/10.1109/ICIP.1999.819622},
	author = {P Fieguth and S K. Sinha}
}
