The video compression sensing method based onmulti hypothesis has attracted extensive attention in the research of video codec with limited resources.However,the formation of high-quality prediction blocks in the mult...The video compression sensing method based onmulti hypothesis has attracted extensive attention in the research of video codec with limited resources.However,the formation of high-quality prediction blocks in the multi hypothesis prediction stage is a challenging task.To resolve this problem,this paper constructs a novel compressed sensing-based high-quality adaptive video reconstruction optimizationmethod.Itmainly includes the optimization of prediction blocks(OPBS),the selection of searchwindows and the use of neighborhood information.Specifically,the OPBS consists of two parts:the selection of blocks and the optimization of prediction blocks.We combine the high-quality optimization reconstruction of foreground block with the residual reconstruction of the background block to improve the overall reconstruction effect of the video sequence.In addition,most of the existing methods based on predictive residual reconstruction ignore the impact of search windows and reference frames on performance.Therefore,Block-level search window(BSW)is constructed to cover the position of the optimal hypothesis block as much as possible.To maximize the availability of reference frames,Nearby reference frame information(NRFI)is designed to reconstruct the current block.The proposed method effectively suppresses the influence of the fluctuation of the prediction block on reconstruction and improves the reconstruction performance.Experimental results showthat the proposed compressed sensing-based high-quality adaptive video reconstruction optimization method significantly improves the reconstruction performance in both objective and supervisor quality.展开更多
This paper formulates an architecture for information integration in computer integrated manufacturing systems (CIMS). The architecture takes the frame structure as single link among applica- tions and between applica...This paper formulates an architecture for information integration in computer integrated manufacturing systems (CIMS). The architecture takes the frame structure as single link among applica- tions and between applications and physical storage. All the advantages in form features based inte- grated systems can be found in the frame-based architecture as the frame structure here takes form fea- tures as its primitives. But other advantages, e.g., default knowledge and dynamic domain knowledge can be attached to frames and the frame structure is easy to be changed and extended, which cannot be found in form features based systems, can also be showed in frame based architecture as the frame structure is a typical knowledge representation scheme in artificial intelligence and many researches and interests have put on it.展开更多
基金supported by the National Natural Science Foundation of China under Grant No.61806138KeyR&DProgram of Shanxi Province(International Cooperation)under Grant No.201903D421048+1 种基金National Key Research and Development Program of China under Grant No.2018YFC1604000School Level Postgraduate Education Innovation Projects under Grant No.XCX212082.
文摘The video compression sensing method based onmulti hypothesis has attracted extensive attention in the research of video codec with limited resources.However,the formation of high-quality prediction blocks in the multi hypothesis prediction stage is a challenging task.To resolve this problem,this paper constructs a novel compressed sensing-based high-quality adaptive video reconstruction optimizationmethod.Itmainly includes the optimization of prediction blocks(OPBS),the selection of searchwindows and the use of neighborhood information.Specifically,the OPBS consists of two parts:the selection of blocks and the optimization of prediction blocks.We combine the high-quality optimization reconstruction of foreground block with the residual reconstruction of the background block to improve the overall reconstruction effect of the video sequence.In addition,most of the existing methods based on predictive residual reconstruction ignore the impact of search windows and reference frames on performance.Therefore,Block-level search window(BSW)is constructed to cover the position of the optimal hypothesis block as much as possible.To maximize the availability of reference frames,Nearby reference frame information(NRFI)is designed to reconstruct the current block.The proposed method effectively suppresses the influence of the fluctuation of the prediction block on reconstruction and improves the reconstruction performance.Experimental results showthat the proposed compressed sensing-based high-quality adaptive video reconstruction optimization method significantly improves the reconstruction performance in both objective and supervisor quality.
文摘This paper formulates an architecture for information integration in computer integrated manufacturing systems (CIMS). The architecture takes the frame structure as single link among applica- tions and between applications and physical storage. All the advantages in form features based inte- grated systems can be found in the frame-based architecture as the frame structure here takes form fea- tures as its primitives. But other advantages, e.g., default knowledge and dynamic domain knowledge can be attached to frames and the frame structure is easy to be changed and extended, which cannot be found in form features based systems, can also be showed in frame based architecture as the frame structure is a typical knowledge representation scheme in artificial intelligence and many researches and interests have put on it.
