{"title":"迈向协同多媒体理论","authors":"K. Candan, V. S. Subrahmanian, P. Rangan","doi":"10.1109/MMCS.1996.534987","DOIUrl":null,"url":null,"abstract":"We develop a theory of media objects, and present optimal algorithms for collaborative synthesis of media objects. We then extend the algorithms to incorporate quality constraints (such as image size) as well as distribution across multiple nodes. The theoretical model is validated by an experimental implementation that supports the theoretical results.","PeriodicalId":371043,"journal":{"name":"Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Towards a theory of collaborative multimedia\",\"authors\":\"K. Candan, V. S. Subrahmanian, P. Rangan\",\"doi\":\"10.1109/MMCS.1996.534987\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We develop a theory of media objects, and present optimal algorithms for collaborative synthesis of media objects. We then extend the algorithms to incorporate quality constraints (such as image size) as well as distribution across multiple nodes. The theoretical model is validated by an experimental implementation that supports the theoretical results.\",\"PeriodicalId\":371043,\"journal\":{\"name\":\"Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMCS.1996.534987\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMCS.1996.534987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We develop a theory of media objects, and present optimal algorithms for collaborative synthesis of media objects. We then extend the algorithms to incorporate quality constraints (such as image size) as well as distribution across multiple nodes. The theoretical model is validated by an experimental implementation that supports the theoretical results.