主题视频搜索:通过众包游戏分析视频概念注释

R. Gligorov, M. Hildebrand, J. V. Ossenbruggen, Lora Aroyo, G. Schreiber
{"title":"主题视频搜索:通过众包游戏分析视频概念注释","authors":"R. Gligorov, M. Hildebrand, J. V. Ossenbruggen, Lora Aroyo, G. Schreiber","doi":"10.15346/HC.V4I1.3","DOIUrl":null,"url":null,"abstract":"Games with a purpose (GWAPs) are increasingly used in audio-visual collections as a mechanism for annotating videos through tagging. One such GWAP is Waisda? , a video labeling game where players tag streaming video and win points by reaching consensus on tags with other players. The open-ended and unconstrained manner of tagging in the fast-paced setting of the game has fundamental impact on the resulting tags. We find that Waisda? tags predominately describe visual objects and rarely refer to the topics of the videos. In this study we evaluate to what extent the tags entered by players can be regarded as topical descriptors of the video material.  Moreover, we characterize the quality of the user tags as topical descriptors with the aim to detect and filter out the bad ones. Our results show that after filtering,  game tags perform equally well compared to the manually crafted metadata when it comes to accessing the videos based on topic. An important consequence of this finding is that tagging games can provide a cost-effective alternative in situations when manual annotation by professionals is too costly.","PeriodicalId":92785,"journal":{"name":"Human computation (Fairfax, Va.)","volume":"20 1","pages":"47-70"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Topical Video Search: Analysing Video Concept Annotation through Crowdsourcing Games\",\"authors\":\"R. Gligorov, M. Hildebrand, J. V. Ossenbruggen, Lora Aroyo, G. Schreiber\",\"doi\":\"10.15346/HC.V4I1.3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Games with a purpose (GWAPs) are increasingly used in audio-visual collections as a mechanism for annotating videos through tagging. One such GWAP is Waisda? , a video labeling game where players tag streaming video and win points by reaching consensus on tags with other players. The open-ended and unconstrained manner of tagging in the fast-paced setting of the game has fundamental impact on the resulting tags. We find that Waisda? tags predominately describe visual objects and rarely refer to the topics of the videos. In this study we evaluate to what extent the tags entered by players can be regarded as topical descriptors of the video material.  Moreover, we characterize the quality of the user tags as topical descriptors with the aim to detect and filter out the bad ones. Our results show that after filtering,  game tags perform equally well compared to the manually crafted metadata when it comes to accessing the videos based on topic. An important consequence of this finding is that tagging games can provide a cost-effective alternative in situations when manual annotation by professionals is too costly.\",\"PeriodicalId\":92785,\"journal\":{\"name\":\"Human computation (Fairfax, Va.)\",\"volume\":\"20 1\",\"pages\":\"47-70\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Human computation (Fairfax, Va.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15346/HC.V4I1.3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human computation (Fairfax, Va.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15346/HC.V4I1.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

带有目的的游戏(gwap)越来越多地用于视听集合中,作为一种通过标记来注释视频的机制。其中一个GWAP是wisda ?,这是一款视频标签游戏,玩家可以给流媒体视频打标签,并通过与其他玩家就标签达成共识来赢得积分。在快节奏的游戏环境中,开放式和不受约束的标签方式对最终的标签产生了根本性的影响。我们发现wisda ?标签主要描述视觉对象,很少涉及视频的主题。在这项研究中,我们评估了玩家输入的标签在多大程度上可以被视为视频材料的主题描述符。此外,我们将用户标签的质量描述为主题描述符,目的是检测和过滤掉不良标签。我们的结果表明,经过过滤后,在基于主题访问视频时,游戏标签的表现与手动制作的元数据一样好。这一发现的一个重要结果是,在专业人员手动注释成本过高的情况下,标记游戏可以提供一种经济有效的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Topical Video Search: Analysing Video Concept Annotation through Crowdsourcing Games
Games with a purpose (GWAPs) are increasingly used in audio-visual collections as a mechanism for annotating videos through tagging. One such GWAP is Waisda? , a video labeling game where players tag streaming video and win points by reaching consensus on tags with other players. The open-ended and unconstrained manner of tagging in the fast-paced setting of the game has fundamental impact on the resulting tags. We find that Waisda? tags predominately describe visual objects and rarely refer to the topics of the videos. In this study we evaluate to what extent the tags entered by players can be regarded as topical descriptors of the video material.  Moreover, we characterize the quality of the user tags as topical descriptors with the aim to detect and filter out the bad ones. Our results show that after filtering,  game tags perform equally well compared to the manually crafted metadata when it comes to accessing the videos based on topic. An important consequence of this finding is that tagging games can provide a cost-effective alternative in situations when manual annotation by professionals is too costly.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信