Consider the problem of transmitting multiple video streams to fulfill a constant bandwidth constraint. The available bit budget needs to be distributed across the sequences in order to meet some optimality criteria. For example, one might want to minimize the average distortion or, alternatively, minimize the distortion variance, in order to keep almost constant quality among the encoded sequences. By working in the rho-domain, we propose a low-delay rate allocation scheme that, at each time instant, provides a closed form solution for either the aforementioned problems. We show that minimizing the distortion variance instead of the average distortion leads, for each of the multiplexed sequences, to a coding penalty less than 0.5 dB, in terms of average PSNR. In addition, our analysis provides an explicit relationship between model parameters and this loss. In order to smooth the distortion also along time, we accommodate a shared encoder buffer to compensate for rate fluctuations. Although the proposed scheme is general, and it can be adopted for any video and image coding standard, we provide experimental evidence by transcoding bitstreams encoded using the state-of-the-art H.264/AVC standard. The results of our simulations reveal that is it possible to achieve distortion smoothing both in time and across the sequences, without sacrificing coding efficiency.
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http://dx.doi.org/10.1109/TIP.2008.924278 | DOI Listing |
Cogn Psychol
January 2025
School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health Peking University Beijing China; Peking-Tsinghua Center for Life Sciences Peking University Beijing China; PKU-IDG/McGovern Institute for Brain Research Peking University Beijing China; State Key Laboratory of General Artificial Intelligence Peking University, Beijing, China; Chinese Institute for Brain Research Beijing China. Electronic address:
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Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.
Background: Non-structural carbohydrates (NSCs) are key substances for metabolic processes in plants, providing energy for growth, development, and responses to environmental stress. Pruning mother bamboo in a clump can significantly affect the NSCs allocation of new shoots, thereby affecting their growth. Moso bamboo (Phyllostachys edulis) is an important economic bamboo species with a highest planting area in China.
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