{"title":"智能手机上体育团队视频广播的自动视频缩放","authors":"F. Lavigne, Fan Chen, X. Desurmont","doi":"10.5220/0002830101570163","DOIUrl":null,"url":null,"abstract":"This paper presents a general framework to adapt the size of a sport team video extracted from TV to a small device screen. We use a soccer game context to describe the four main steps of our video processing framework: (1) A view type detector helps to decide whether the current frame of the video has to be resized or not. (2) If the camera point of view is far, a ball detector localizes the interesting area of the scene. (3) Then, the current frame is resized and centred on the ball, taking into account some parameters, such as the ball position and its speed. (4) At the end of the process, the score banner is detected and removed by an inpainting method.","PeriodicalId":411140,"journal":{"name":"International Conference on Computer Vision Theory and Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Automatic Video Zooming for Sport Team Video Broadcasting on Smart Phones\",\"authors\":\"F. Lavigne, Fan Chen, X. Desurmont\",\"doi\":\"10.5220/0002830101570163\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a general framework to adapt the size of a sport team video extracted from TV to a small device screen. We use a soccer game context to describe the four main steps of our video processing framework: (1) A view type detector helps to decide whether the current frame of the video has to be resized or not. (2) If the camera point of view is far, a ball detector localizes the interesting area of the scene. (3) Then, the current frame is resized and centred on the ball, taking into account some parameters, such as the ball position and its speed. (4) At the end of the process, the score banner is detected and removed by an inpainting method.\",\"PeriodicalId\":411140,\"journal\":{\"name\":\"International Conference on Computer Vision Theory and Applications\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Computer Vision Theory and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0002830101570163\",\"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 Conference on Computer Vision Theory and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0002830101570163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic Video Zooming for Sport Team Video Broadcasting on Smart Phones
This paper presents a general framework to adapt the size of a sport team video extracted from TV to a small device screen. We use a soccer game context to describe the four main steps of our video processing framework: (1) A view type detector helps to decide whether the current frame of the video has to be resized or not. (2) If the camera point of view is far, a ball detector localizes the interesting area of the scene. (3) Then, the current frame is resized and centred on the ball, taking into account some parameters, such as the ball position and its speed. (4) At the end of the process, the score banner is detected and removed by an inpainting method.