Title :
Compressed-Domain Video Retargeting
Author :
Jiangyang Zhang ; Shangwen Li ; Kuo, C.-C Jay
Author_Institution :
Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
In this paper, we present a compressed-domain video retargeting solution that operates without compromising the resizing quality. Existing video retargeting methods operate in the spatial (or pixel) domain. Such a solution is not practical if it is implemented in mobile devices due to its large memory requirement. In the proposed solution, each component of the retargeting system is designed to exploit the low-level compressed domain features extracted from the coded bit stream. For example, motion information is obtained directly from motion vectors. An efficient column shape mesh deformation is employed to solve the difficulty of sophisticated quad-shape mesh deformation in the compressed domain. The proposed solution achieves comparable (or slightly better) visual quality performance as compared with several state-of-the-art pixel-domain retargeting methods at lower computational and memory costs, making content-aware video resizing both scalable and practical in real-world applications.
Keywords :
data compression; feature extraction; video coding; coded bit stream; column shape mesh deformation; compressed-domain video retargeting; content-aware video resizing; feature extraction; low-level compressed domain; memory requirement; mobile devices; motion information; motion vectors; pixel domain; pixel-domain retargeting; quad-shape mesh deformation; spatial domain; visual quality; Cameras; Decoding; Discrete cosine transforms; Image coding; Vectors; Video coding; Visualization; Video retargeting; column mesh; compressed domain processing; content-aware; cropping; warping;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2013.2294541