A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
A JPEG-based interpolative image coding scheme
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
Down-scaling for better transform compression
IEEE Transactions on Image Processing
Adaptive downsampling to improve image compression at low bit rates
IEEE Transactions on Image Processing
Optimum bit allocation and accurate rate control for video coding via ρ-domain source modeling
IEEE Transactions on Circuits and Systems for Video Technology
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Better image coding quality can be achieved by down sampling the visual content prior to compression and restore the full resolution content at the decoder when a higher compression rate is required. In this paper, a perception based adaptive sampling for low bit rate coding method is proposed. Sampling directions/ratios and the corresponding quantization parameters are determined adaptively, with the consideration of not only the local visual content but also the human attention model. Experiments show that the proposed method can yield more desirable compressed visual content than the other sampling based coding methods (and also in comparison with coding methods without down sampling) and automate the switching of the sampling modes for variable bit rate application.