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PROJECT TITLE:

PVR system design of advanced video navigation reinforced with audible sound

ABSTRACT:

This paper presents an advanced video navigation concept for Personal Video Recording (PVR), based on jointly using the primary image and a Picture-in-Picture (PiP) image, featuring combined rendering of normal-play video fragments with audio and fast-search video. The hindering loss of audio during conventional fast-search trick play is eliminated, by adding the sound associated to the normal-play video fragments. The normal-play fragments provide detailed information, whereas the fast-search signal simultaneously presents a coarse overview, where it will be shown that the audio enhances the overall navigation efficiency. This system setup requires a specific DTV decoding process, combining multiple, independent audiovisual information signals. Experiments revealed that it is possible to decode all signals by efficient Signal Processing, thereby re-using the standard DTV decoding platform for decoding, both the normal-play audiovisual fragments and associated fast-search information signal. By applying a decoding concept for the fast-search navigation signal that allows exchanging the navigation refresh rate against execution cycles, it is ensured that real-time performance is obtained on an embedded CPU, as typically deployed in DVT platforms for PVR1.


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