Supporting zoomable video streams with dynamic region-of-interest cropping

N Quang Minh Khiem, G Ravindra, A Carlier… - Proceedings of the first …, 2010 - dl.acm.org
N Quang Minh Khiem, G Ravindra, A Carlier, WT Ooi
Proceedings of the first annual ACM SIGMM conference on Multimedia systems, 2010dl.acm.org
Streaming of an arbitrary region of interest (RoI) from a high resolution video is essential to
supporting zooming and panning within a video stream. This paper explores two methods
for RoI-based streaming, referring to them as tiled streaming and monolithic streaming. Tiled
streaming partitions video frames into grid of tiles and encodes each tile as an
independently decodable stream. Monolithic streaming applies to video encoded using off-
the-shelf encoder, and relies on a pre-computed dependency information to send the …
Streaming of an arbitrary region of interest (RoI) from a high resolution video is essential to supporting zooming and panning within a video stream. This paper explores two methods for RoI-based streaming, referring to them as tiled streaming and monolithic streaming. Tiled streaming partitions video frames into grid of tiles and encodes each tile as an independently decodable stream. Monolithic streaming applies to video encoded using off-the-shelf encoder, and relies on a pre-computed dependency information to send the necessary bits for the RoI. We evaluated these two methods in terms of bandwidth efficiency, storage requirement, and computational costs under different video encoding parameters. Experimental results show that bandwidth efficiency of tiled streams for RoI-based streaming reduces when tile size increases, despite improvement in compression efficiency. In the case of monolithic streams, use of a larger motion vector range coupled with careful run-time optimization can still improve the bandwidth efficiency, despite an increase in motion vector dependency.
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