Reduction of Channel Zapping Delay by Using Channel Prediction

What is it about?

Channel zapping delay adversely affects user viewing experience in digital television. We propose a technique that is based on machine learning to reduce the delay. Using C4.5 decision trees we predict the next channel that the user will select. The predicted channel is pre-joined, together with the neighboring channels of the currently selected channel. The results of the evaluation show an increase of 5.67% in the probability that the next selected channel is already pre-joined, compared to the case when only neighboring channels are pre-joined.

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Why is it important?

Channel zapping delay problem is an important problem in digital television, and adequate solution has yet to be found. This is a step in that direction.