{"title":"基于模糊逻辑的视频舒适感知挖掘","authors":"S. Jeeva, V. Saranya","doi":"10.1109/ICICES.2014.7033868","DOIUrl":null,"url":null,"abstract":"In this paper a fuzzy based approach is used for Effective retrieval of video. Initially a video is partitioned into frames and then we use fuzzy logic method in order to retrieve a video. While existing search engines like Google and yahoo provide a video retrieving through manual textual queries. We provide an advanced concept of giving a relevant image as an input in order to rescue the video. While text based queries uses color histograms our concept makes great advantage of fuzzy logic in order to provide an accurate result.","PeriodicalId":13713,"journal":{"name":"International Conference on Information Communication and Embedded Systems (ICICES2014)","volume":"39 1","pages":"1-7"},"PeriodicalIF":0.0000,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comfortable perception mining in videos using fuzzy logic\",\"authors\":\"S. Jeeva, V. Saranya\",\"doi\":\"10.1109/ICICES.2014.7033868\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a fuzzy based approach is used for Effective retrieval of video. Initially a video is partitioned into frames and then we use fuzzy logic method in order to retrieve a video. While existing search engines like Google and yahoo provide a video retrieving through manual textual queries. We provide an advanced concept of giving a relevant image as an input in order to rescue the video. While text based queries uses color histograms our concept makes great advantage of fuzzy logic in order to provide an accurate result.\",\"PeriodicalId\":13713,\"journal\":{\"name\":\"International Conference on Information Communication and Embedded Systems (ICICES2014)\",\"volume\":\"39 1\",\"pages\":\"1-7\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Information Communication and Embedded Systems (ICICES2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICES.2014.7033868\",\"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 Information Communication and Embedded Systems (ICICES2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICES.2014.7033868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comfortable perception mining in videos using fuzzy logic
In this paper a fuzzy based approach is used for Effective retrieval of video. Initially a video is partitioned into frames and then we use fuzzy logic method in order to retrieve a video. While existing search engines like Google and yahoo provide a video retrieving through manual textual queries. We provide an advanced concept of giving a relevant image as an input in order to rescue the video. While text based queries uses color histograms our concept makes great advantage of fuzzy logic in order to provide an accurate result.
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