Ali Selman Aydin, Shirin Feiz, Vikas Ashok, I V Ramakrishnan
{"title":"专为低视力人士设计的显著性视频放大镜。","authors":"Ali Selman Aydin, Shirin Feiz, Vikas Ashok, I V Ramakrishnan","doi":"10.1145/3371300.3383356","DOIUrl":null,"url":null,"abstract":"<p><p>Consuming video content poses significant challenges for many screen magnifier users, which is the \"go to\" assistive technology for people with low vision. While screen magnifier software could be used to achieve a zoom factor that would make the content of the video visible to low-vision users, it is oftentimes a major challenge for these users to navigate through videos. Towards making videos more accessible for low-vision users, we have developed the SViM video magnifier system [6]. Specifically, SViM consists of three different magnifier interfaces with easy-to-use means of interactions. All three interfaces are driven by visual saliency as a guided signal, which provides a quantification of interestingness at the pixel-level. Saliency information, which is provided as a heatmap is then processed to obtain distinct regions of interest. These regions of interests are tracked over time and displayed using an easy-to-use interface. We present a description of our overall design and interfaces.</p>","PeriodicalId":93137,"journal":{"name":"Proceedings of the 17th International Web for All Conference","volume":"2020 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3371300.3383356","citationCount":"1","resultStr":"{\"title\":\"A Saliency-driven Video Magnifier for People with Low Vision.\",\"authors\":\"Ali Selman Aydin, Shirin Feiz, Vikas Ashok, I V Ramakrishnan\",\"doi\":\"10.1145/3371300.3383356\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Consuming video content poses significant challenges for many screen magnifier users, which is the \\\"go to\\\" assistive technology for people with low vision. While screen magnifier software could be used to achieve a zoom factor that would make the content of the video visible to low-vision users, it is oftentimes a major challenge for these users to navigate through videos. Towards making videos more accessible for low-vision users, we have developed the SViM video magnifier system [6]. Specifically, SViM consists of three different magnifier interfaces with easy-to-use means of interactions. All three interfaces are driven by visual saliency as a guided signal, which provides a quantification of interestingness at the pixel-level. Saliency information, which is provided as a heatmap is then processed to obtain distinct regions of interest. These regions of interests are tracked over time and displayed using an easy-to-use interface. We present a description of our overall design and interfaces.</p>\",\"PeriodicalId\":93137,\"journal\":{\"name\":\"Proceedings of the 17th International Web for All Conference\",\"volume\":\"2020 \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1145/3371300.3383356\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 17th International Web for All Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3371300.3383356\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/4/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 17th International Web for All Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3371300.3383356","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/4/20 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
A Saliency-driven Video Magnifier for People with Low Vision.
Consuming video content poses significant challenges for many screen magnifier users, which is the "go to" assistive technology for people with low vision. While screen magnifier software could be used to achieve a zoom factor that would make the content of the video visible to low-vision users, it is oftentimes a major challenge for these users to navigate through videos. Towards making videos more accessible for low-vision users, we have developed the SViM video magnifier system [6]. Specifically, SViM consists of three different magnifier interfaces with easy-to-use means of interactions. All three interfaces are driven by visual saliency as a guided signal, which provides a quantification of interestingness at the pixel-level. Saliency information, which is provided as a heatmap is then processed to obtain distinct regions of interest. These regions of interests are tracked over time and displayed using an easy-to-use interface. We present a description of our overall design and interfaces.