Abstract
Attentive robots, inspired by human-like vision – are required to have visual systems with fovea-periphery distinction and saccadic motion capability. Thus, each frame in the incoming image sequence has nonuniform sampling and consecutive saccadic images have temporal redundancy. In this paper, we propose a novel video coding and streaming algorithm for low bandwidth networks that exploits these two features simultaneously. Our experimental results reveal improved video streaming in applications like robotic teleoperation. Furthermore, since the algorithm employs the Gaussian-like resolution of human visual system and is extremely simple to integrate with the standard coding schemes, it can also be used in applications such as cellular phones with video.
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Dikici, Ç., Bozma, H.I., Civanlar, R. (2004). Fovea Based Coding for Video Streaming. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30125-7_36
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DOI: https://doi.org/10.1007/978-3-540-30125-7_36
Publisher Name: Springer, Berlin, Heidelberg
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