On Demand Retrieval of Crowdsourced Mobile Video
On Demand Retrieval of Crowdsourced Mobile Video
复制标题
众包移动视频的按需检索
DOI：
10.1109/jsen.2014.2336292
复制
发表时间：
2015
影响因子：
4.3
通讯作者：
J. Chiam
中科院分区：
文献类型：
--
作者：
Seshadri Padmanabha Venkatagiri;M. Chan;Wei Tsang Ooi;J. Chiam
移动摄像头的普及使得在体育比赛、艺术表演和讲座等活动中拍摄的视频的社交分享变得流行。由于带宽和能源限制，在捕获后立即将所有捕获的视频上传到服务器以进行共享通常效率不高，也不理想。我们提出了一种基于拉动的点播移动视频共享系统，允许用户共享在活动中捕获的视频，具有两个新颖的组件：1）在智能手机上运行的轻量级视频元数据提取算法，考虑时间和空间特征，包括传感器（罗盘）读数和内容的兴趣点；2）在服务器上运行的视频选择算法，考虑检索视频的准确性和智能手机的上传成本来响应用户查询。我们的评估结果显示，与仅考虑成本或准确性的三种基准算法相比，上传成本提高了四倍，主观质量提高了 52%。
The proliferation of mobile cameras has popularized social sharing of videos captured at events such as sports matches, art performances, and lectures. Due to bandwidth and energy constraints, it is often not efficient or desirable to upload all captured videos to a server for sharing immediately after capturing. We propose a pull-based, on-demand mobile video sharing system that allows user to share video captured at an event, with two novel components: 1) a lightweight video metadata extraction algorithm running on the smartphones that considers both temporal and spatial features, including sensor (compass) readings and point-of-interest of the content and 2) a video selection algorithm, running on the server, that responds to user queries considering both accuracy of the retrieved video and the upload cost of the smartphones. Our evaluation results show up to four times improvement in upload cost and 52% improvement in subjective quality over three baseline algorithms that consider only either cost or accuracy.