{"title":"基于视图词袋模型的图像检索系统","authors":"Cheng Feng, Xiaohong Wang","doi":"10.1109/ICIS.2016.7550926","DOIUrl":null,"url":null,"abstract":"In this paper, the theory of bag of view words model is introduced for image retrieval, and a method to enhance accuracy rate of the model is provided. In addition, an image retrieval system is also constructed for movie posters. The system matches the pictures uploaded with the corresponding movie from the gallery, and is more accurate and efficient.","PeriodicalId":336322,"journal":{"name":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Image retrieval system based on bag of view words model\",\"authors\":\"Cheng Feng, Xiaohong Wang\",\"doi\":\"10.1109/ICIS.2016.7550926\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the theory of bag of view words model is introduced for image retrieval, and a method to enhance accuracy rate of the model is provided. In addition, an image retrieval system is also constructed for movie posters. The system matches the pictures uploaded with the corresponding movie from the gallery, and is more accurate and efficient.\",\"PeriodicalId\":336322,\"journal\":{\"name\":\"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIS.2016.7550926\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2016.7550926","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image retrieval system based on bag of view words model
In this paper, the theory of bag of view words model is introduced for image retrieval, and a method to enhance accuracy rate of the model is provided. In addition, an image retrieval system is also constructed for movie posters. The system matches the pictures uploaded with the corresponding movie from the gallery, and is more accurate and efficient.