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|Title:||SaVE: Sensor-assisted motion estimation for efficient h.264/AVC video encoding||Authors:||Chen, X.
|Issue Date:||2009||Citation:||Chen, X.,Zhao, Z.,Rahmati, A.,Wang, Y.,Zhong, L. (2009). SaVE: Sensor-assisted motion estimation for efficient h.264/AVC video encoding. MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums : 381-390. ScholarBank@NUS Repository. https://doi.org/10.1145/1631272.1631325||Abstract:||Motion estimation is a key component of modern video encoding and is very compute-intensive. We present a novel Sensor-assisted Video Encoding (SaVE) method to reduce the computational complexity of motion estimation in H.264/AVC encoders, leveraging accelerometers and digital compasses that are increasingly available on mobile devices. Using these sensors, SaVE calculates the rotational movement of a camera and then infers the global motion in the camera image sensor; it subsequently employs the estimated global motion to simplify the state-of-the-art motion estimation algorithms, UMHS and EPZS used in H.264/AVC encoders. We have constructed a prototype of SaVE and report extensive evaluation of it. Our experimental results show that SaVE can reduce the computations of UMHS and EPZS algorithms by up to 27% and 18%, respectively, while achieving the same or better video quality. Copyright 2009 ACM.||Source Title:||MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums||URI:||http://scholarbank.nus.edu.sg/handle/10635/40886||ISBN:||9781605586083||DOI:||10.1145/1631272.1631325|
|Appears in Collections:||Staff Publications|
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