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Relevance feedback is an iterative search technique to bridge the semantic gap between the high level user intention and low level data representation. This technique interactively determines a user's desired output or query concept by asking the user whether certain proposed 3D models are relevant or not. For a relevance feedback algorithm to be effective, it must grasp a user's query concept accurately...
In the article, we propose a adaptive FEC algorithm implemented in the Access Point (AP) to improve the quality of progressively compressed 3D models transmission over wireless networks(such as IEEE 802.11).Most FEC-based error control algorithms, which add redundant data to transmission data in a fixed number. However, most are unable to successfully hide the effects of burst losses (periods with...
When a 3D model is transmitted over a lossy network, some model information may inevitably be missing. Under such situation, one may not be able to visualize the receiving model unless the lost model information has been retransmitted. Progressive model transmission offers an alternative to avoid the “all or nothing situation” by allowing a model to be visualized with a degraded quality when only...
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