Mario Guggenberger, M. Riegler, M. Lux, P. Halvorsen
{"title":"内镜手术视频中的事件理解","authors":"Mario Guggenberger, M. Riegler, M. Lux, P. Halvorsen","doi":"10.1145/2660505.2660509","DOIUrl":null,"url":null,"abstract":"Event detection and understanding is an important area in computer science and especially multimedia. The term event is very broad, and we want to propose a novel event based view on endoscopic surgeries. Thus, with the novel view on surgery in this paper, we want to provide a better understanding and possible way of segmentation of the whole event surgery but also the included sub-events. To achieve this sophisticated goal, we present an annotation tool in combination with a thinking aloud test with an experienced surgeon.","PeriodicalId":434817,"journal":{"name":"HuEvent '14","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Event Understanding in Endoscopic Surgery Videos\",\"authors\":\"Mario Guggenberger, M. Riegler, M. Lux, P. Halvorsen\",\"doi\":\"10.1145/2660505.2660509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Event detection and understanding is an important area in computer science and especially multimedia. The term event is very broad, and we want to propose a novel event based view on endoscopic surgeries. Thus, with the novel view on surgery in this paper, we want to provide a better understanding and possible way of segmentation of the whole event surgery but also the included sub-events. To achieve this sophisticated goal, we present an annotation tool in combination with a thinking aloud test with an experienced surgeon.\",\"PeriodicalId\":434817,\"journal\":{\"name\":\"HuEvent '14\",\"volume\":\"126 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"HuEvent '14\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2660505.2660509\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"HuEvent '14","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2660505.2660509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Event detection and understanding is an important area in computer science and especially multimedia. The term event is very broad, and we want to propose a novel event based view on endoscopic surgeries. Thus, with the novel view on surgery in this paper, we want to provide a better understanding and possible way of segmentation of the whole event surgery but also the included sub-events. To achieve this sophisticated goal, we present an annotation tool in combination with a thinking aloud test with an experienced surgeon.