Yongjiu Liu, Chunfang Li, Changxiang Shen, Minyong Shi
{"title":"基于边缘特征的视频字幕定位与识别","authors":"Yongjiu Liu, Chunfang Li, Changxiang Shen, Minyong Shi","doi":"10.1109/DSA.2019.00072","DOIUrl":null,"url":null,"abstract":"Subtitle location and recognition technology is a special case of natural scene text recognition, but there are sorne differences between them, The subtitles in video frame have fixed position and lots of edge features. This papertakes that as a starting point, extracting edge features with Sobel operatorto locate the subtitle, adjusting color scale and taking the method of binarization to get the text image with pure background, finally obtains the text inthe frame via OCR technology.","PeriodicalId":436097,"journal":{"name":"International Conferences on Dependable Systems and Their Applications","volume":"393 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Video Subtitle Location and Recognition Based on Edge Features\",\"authors\":\"Yongjiu Liu, Chunfang Li, Changxiang Shen, Minyong Shi\",\"doi\":\"10.1109/DSA.2019.00072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Subtitle location and recognition technology is a special case of natural scene text recognition, but there are sorne differences between them, The subtitles in video frame have fixed position and lots of edge features. This papertakes that as a starting point, extracting edge features with Sobel operatorto locate the subtitle, adjusting color scale and taking the method of binarization to get the text image with pure background, finally obtains the text inthe frame via OCR technology.\",\"PeriodicalId\":436097,\"journal\":{\"name\":\"International Conferences on Dependable Systems and Their Applications\",\"volume\":\"393 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conferences on Dependable Systems and Their Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSA.2019.00072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conferences on Dependable Systems and Their Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSA.2019.00072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Video Subtitle Location and Recognition Based on Edge Features
Subtitle location and recognition technology is a special case of natural scene text recognition, but there are sorne differences between them, The subtitles in video frame have fixed position and lots of edge features. This papertakes that as a starting point, extracting edge features with Sobel operatorto locate the subtitle, adjusting color scale and taking the method of binarization to get the text image with pure background, finally obtains the text inthe frame via OCR technology.