{"title":"编码视频序列中兴趣区域的自动提取与跟踪","authors":"Tianyun Huang","doi":"10.1109/CCSSE.2014.7224532","DOIUrl":null,"url":null,"abstract":"Region of Interest (ROI) plays an important role in many video-based applications such as video monitoring, object tracking, object-based video coding, etc. However, it is still hard to define, extract and track the ROI in a video sequence. A combined scheme is proposed to automatically determine, extract and track the ROI in a coded video sequence. Both the visual attention model in human vision system (HVS) and the temporal motion cues in a video sequence are incorporated to generate the saliency maps and to determine the ROI. The identified ROI is tracked frame to frame in the compressed domain, using only the motion vectors. This idea can be applied to ROI based video coding, adaptation and content delivery, etc.","PeriodicalId":251022,"journal":{"name":"2014 IEEE International Conference on Control Science and Systems Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic region of interest extraction and tracking in coded video sequence\",\"authors\":\"Tianyun Huang\",\"doi\":\"10.1109/CCSSE.2014.7224532\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Region of Interest (ROI) plays an important role in many video-based applications such as video monitoring, object tracking, object-based video coding, etc. However, it is still hard to define, extract and track the ROI in a video sequence. A combined scheme is proposed to automatically determine, extract and track the ROI in a coded video sequence. Both the visual attention model in human vision system (HVS) and the temporal motion cues in a video sequence are incorporated to generate the saliency maps and to determine the ROI. The identified ROI is tracked frame to frame in the compressed domain, using only the motion vectors. This idea can be applied to ROI based video coding, adaptation and content delivery, etc.\",\"PeriodicalId\":251022,\"journal\":{\"name\":\"2014 IEEE International Conference on Control Science and Systems Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Control Science and Systems Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCSSE.2014.7224532\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Control Science and Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCSSE.2014.7224532","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic region of interest extraction and tracking in coded video sequence
Region of Interest (ROI) plays an important role in many video-based applications such as video monitoring, object tracking, object-based video coding, etc. However, it is still hard to define, extract and track the ROI in a video sequence. A combined scheme is proposed to automatically determine, extract and track the ROI in a coded video sequence. Both the visual attention model in human vision system (HVS) and the temporal motion cues in a video sequence are incorporated to generate the saliency maps and to determine the ROI. The identified ROI is tracked frame to frame in the compressed domain, using only the motion vectors. This idea can be applied to ROI based video coding, adaptation and content delivery, etc.
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