A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Proceedings of the Third international conference on Future Multimedia Networking
FMN'10 Proceedings of the Third international conference on Future Multimedia Networking
QoE as a function of frame rate and resolution changes
FMN'10 Proceedings of the Third international conference on Future Multimedia Networking
FMN'10 Proceedings of the Third international conference on Future Multimedia Networking
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Video transmission and analysis is often utilized in applications outside of the entertainment sector, and generally speaking this class of video is used to perform specific tasks. Examples of these applications include security and public safety. The Quality of Experience (QoE) concept for video content used for entertainment differs significantly from the QoE of surveillance video used for recognition tasks. This is because, in the latter case, the subjective satisfaction of the user depends on achieving a given functionality. Recognizing the growing importance of video in delivering a range of public safety services, we focused on developing critical quality thresholds in license plate recognition tasks based on videos streamed in constrained networking conditions. Since the number of surveillance cameras is still growing it is obvious that automatic systems will be used to do the tasks. Therefore, the presented research includes also analysis of automatic recognition algorithms.