{"title":"基于类文本特征统计分析的梯度视频文本定位算法","authors":"Cheng-Hsuan Li, Yung-Lin Huang, Shao-Yi Chien","doi":"10.1109/ICCE-BERLIN.2011.6031864","DOIUrl":null,"url":null,"abstract":"Video processing techniques in most of the current display systems are performed without considering the text information. The proposed algorithm aims to localize the text regions for video processing. To derive the robust text-like features, a statistical analysis is introduced. With the 2D structure analysis and multi-resolution refinement, most text regions are localized using the proposed text-like feature. 1","PeriodicalId":236486,"journal":{"name":"2011 IEEE International Conference on Consumer Electronics -Berlin (ICCE-Berlin)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Gradient-based video text localization algorithm with statistical analysis of text-like features\",\"authors\":\"Cheng-Hsuan Li, Yung-Lin Huang, Shao-Yi Chien\",\"doi\":\"10.1109/ICCE-BERLIN.2011.6031864\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Video processing techniques in most of the current display systems are performed without considering the text information. The proposed algorithm aims to localize the text regions for video processing. To derive the robust text-like features, a statistical analysis is introduced. With the 2D structure analysis and multi-resolution refinement, most text regions are localized using the proposed text-like feature. 1\",\"PeriodicalId\":236486,\"journal\":{\"name\":\"2011 IEEE International Conference on Consumer Electronics -Berlin (ICCE-Berlin)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Consumer Electronics -Berlin (ICCE-Berlin)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-BERLIN.2011.6031864\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Consumer Electronics -Berlin (ICCE-Berlin)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-BERLIN.2011.6031864","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Gradient-based video text localization algorithm with statistical analysis of text-like features
Video processing techniques in most of the current display systems are performed without considering the text information. The proposed algorithm aims to localize the text regions for video processing. To derive the robust text-like features, a statistical analysis is introduced. With the 2D structure analysis and multi-resolution refinement, most text regions are localized using the proposed text-like feature. 1