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Authors
Advisor(s)
Abstract(s)
This paper proposes two H.264/AVC compliant methods for encoding Regions-of-Interest (ROI) with
spatial scalability and evaluates their respective rate-distortion-complexity performance. The base layer is
kept unchanged and provides lower resolution images with roughly constant quality, without identification
of the ROI. In the proposed methods there is no need to encode contour information because the ROI is
implicitly defined in the upper layer of the spatial resolution in a transparent way by using different
encoding parameters for the ROI and its complementary region. It is shown, that spatial scalability in ROI
can be efficiently used to enhance specific regions of an image sequence in both spatial resolution and
quality with low coding complexity. The proposed encoding scheme is suitable for remote surveillance,
medical applications and entertainment, where higher resolution and higher quality ROI is a useful
functionality for object/face recognition, selective encryption, detail analysis, etc.
Description
Comunicação apresentada na International Conference on Signal Processing and Multimedia Applications, Porto, 2008.
Keywords
Regions-of-Interest Spatial scalability
