Masakazu Iwai, Takuya Futagami, N. Hayasaka, T. Onoye
{"title":"Acceleration of Automatic Building Extraction via Color-Clustering Analysis","authors":"Masakazu Iwai, Takuya Futagami, N. Hayasaka, T. Onoye","doi":"10.1587/transfun.2020sml0004","DOIUrl":"https://doi.org/10.1587/transfun.2020sml0004","url":null,"abstract":"In this paper, we improve upon the automatic building extraction method, which uses a variational inference Gaussian mixture model for performing color clustering, by accelerating its computational speed. The improved method decreases the computational time using an image with reduced resolution upon applying color clustering. According to our experiment, in which we used 106 scenery images, the improved method could extract buildings at a rate 86.54% faster than that of the conventional methods. Furthermore, the improved method significantly increased the extraction accuracy by 1.8% or more by preventing overclustering using the reduced image, which also had a reduced number of the colors. key words: scenery image, building extraction, GrabCut, acceleration","PeriodicalId":348826,"journal":{"name":"IEICE Trans. Fundam. Electron. Commun. Comput. Sci.","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131500842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-Layered DP Quantization Algorithm","authors":"Y. Bandoh, Seishi Takamura, H. Kimata","doi":"10.1587/transfun.2020smp0028","DOIUrl":"https://doi.org/10.1587/transfun.2020smp0028","url":null,"abstract":"Designing an optimum quantizer can be treated as the optimization problem of finding the quantization indices that minimize the quantization error. One solution to the optimization problem, DP quantization, is based on dynamic programming. Some applications, such as bit-depth scalable codec and tone mapping, require the construction of multiple quantizers with different quantization levels, for example, from 12bit/channel to 10bit/channel and 8bit/channel. Unfortunately, the above mentioned DP quantization optimizes the quantizer for just one quantization level. That is, it is unable to simultaneously optimize multiple quantizers. Therefore, when DP quantization is used to design multiple quantizers, there are many redundant computations in the optimization process. This paper proposes an extended DP quantization with a complexity reduction algorithm for the optimal design of multiple quantizers. Experiments show that the proposed algorithm reduces complexity by 20.8%, on average, compared to conventional DP quantization. key words: quantization, dynamic programming, bit-depth scalability, multi-layered structure","PeriodicalId":348826,"journal":{"name":"IEICE Trans. Fundam. Electron. Commun. Comput. Sci.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130197574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The LMS-Type Adaptive Filter Based on the Gaussian Model for Controlling the Variances of Coefficients","authors":"K. Nishikawa","doi":"10.1587/transfun.2020smp0011","DOIUrl":"https://doi.org/10.1587/transfun.2020smp0011","url":null,"abstract":"","PeriodicalId":348826,"journal":{"name":"IEICE Trans. Fundam. Electron. Commun. Comput. Sci.","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124004624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Body Part Connection, Categorization and Occlusion Based Tracking with Correction by Temporal Positions for Volleyball Spike Height Analysis","authors":"Xina Cheng, Ziken Li, Songlin Du, T. Ikenaga","doi":"10.1587/transfun.2020smp0010","DOIUrl":"https://doi.org/10.1587/transfun.2020smp0010","url":null,"abstract":"","PeriodicalId":348826,"journal":{"name":"IEICE Trans. Fundam. Electron. Commun. Comput. Sci.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127779094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}