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相关概念视频

Data Collection by Observations01:08

Data Collection by Observations

12.0K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
12.0K
Data Collection by Experiments01:13

Data Collection by Experiments

24.2K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
24.2K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

107
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
107
Data Collection II01:29

Data Collection II

8.2K
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
8.2K
Observational Studies01:11

Observational Studies

8.7K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
8.7K
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

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It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
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相关实验视频

Updated: Jul 9, 2025

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
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A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

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数据2MV - 用于多视图场景的用户行为数据集.

Tiago Soares da Costa1, Maria Teresa Andrade2,1, Paula Viana3,1

  • 1Centre for Telecommunications and Multimedia, INESC TEC, Porto, Portugal.

Data in brief
|November 29, 2023
PubMed
概括

Data2MV数据集提供了来自45名观看视频的参与者的宝贵视线固定数据,有助于研究沉浸式流媒体. 这一数据集包括超过一百万的凝视定位和相关的突出地图.

关键词:
适应式流媒体适应性流媒体深度学习是一种深度学习.头部跟踪系统 头部跟踪系统多视图多视图可以使用.多媒体媒体.查看预测的预测

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Cross-Modal Multivariate Pattern Analysis
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相关实验视频

Last Updated: Jul 9, 2025

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科学领域:

  • 计算机视觉 计算机视觉
  • 人与计算机的交互
  • 多媒体系统 多媒体系统

背景情况:

  • 视线跟踪数据对于理解多媒体环境中的用户行为至关重要.
  • 缺乏全面的数据集阻碍了对沉浸式,多视图流媒体场景的研究.
  • 现有的数据集往往缺乏高级分析所需的规模和细节.

研究的目的:

  • 引入和发布Data2MV数据集,这是一个新的凝视定位数据集合.
  • 为研究人员提供丰富的资源,用于研究视频消费中的视觉注意力.
  • 支持开发用于突出性预测和用户行为分析的新算法.

主要方法:

  • 采集了45名参与者使用英特尔RealSense F200摄像机的凝视固定数据.
  • 使用了七个20分钟的视频播放列表,数据以0.05秒的间隔记录.
  • 从聚合的固定数据和提供的开源软件工具生成突出地图.

主要成果:

  • 该数据集包括128个实验中的1000,845个凝视定位.
  • 包括68,393个图像和同样数量的聚合突出地图.
  • 数据2MV数据集在Mendeley数据上公开提供.

结论:

  • 数据2MV数据集解决了沉浸式流媒体中凝视定位数据的稀缺问题.
  • 它是推动视觉注意力和HCI研究的宝贵资源.
  • 促进了显著性和用户行为的计算模型的开发和验证.