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相关概念视频

Retrieval01:12

Retrieval

408
Retrieval is the process of getting information out of memory storage and back into conscious awareness. This ability is essential for daily tasks like brushing hair and teeth, driving to work, and performing job duties. Retrieval occurs in three ways: recall, recognition, and relearning.
Recall involves accessing information without cues, such as during an essay test, where individuals must retrieve facts and concepts from memory unaided. Another example is remembering the name of a colleague...
408
ER Retrieval Pathway01:45

ER Retrieval Pathway

4.7K
In the secretory pathway, vesicles transport proteins from one cellular compartment to another in forward transport to deliver the protein to its correct location. Occasionally, misfolded proteins and incorrect proteins escape their original compartments, and a retrieval pathway is used to return the escaped proteins to their original compartment.
The ER uses many checkpoints to prevent the entry of incorrectly folded or a resident protein as cargo onto a transport vesicle. These mechanisms...
4.7K
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

700
A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
700
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

704
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
704
The Representativeness Heuristic02:13

The Representativeness Heuristic

16.7K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
16.7K
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

880
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
880

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相关实验视频

Updated: Jan 17, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

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PRVR:部分相关的视频检索

Xianke Chen, Daizong Liu, Xun Yang

    IEEE transactions on pattern analysis and machine intelligence
    |September 24, 2025
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了部分相关视频检索 (PRVR) 用于多个场景的视频. 新的多尺度相似性学习 (MS-SL++) 网络有效地识别了视频中的查询相关时刻.

    更多相关视频

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    Cross-Modal Multivariate Pattern Analysis
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    相关实验视频

    Last Updated: Jan 17, 2026

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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    Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking
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    科学领域:

    • 计算机科学 计算机科学
    • 人工智能的人工智能
    • 机器学习 机器学习

    背景情况:

    • 目前的文本到视频检索 (T2VR) 假设视频被修剪为直接查询相关性.
    • 现实世界的视频往往包含多个场景,当只有部分相关时,让检索变得具有挑战性.
    • 这就需要一种新的方法来进行部分相关视频检索 (PRVR).

    研究的目的:

    • 为了应对只有一部分与文本查询相关的视频检索的挑战.
    • 介绍和研究部分相关视频检索 (PRVR) 的新设置.
    • 提出一个新的网络,用于准确识别视频中的查询相关时刻.

    主要方法:

    • 制定了PRVR任务作为一个多个实例的学习问题.
    • 提出了一个多尺度相似性学习 (MS-SL++) 网络.
    • 网络共同学习剪贴尺度和尺度的相似性,以确定相关性.

    主要成果:

    • 在PRVR环境中,MS-SL++网络证明了其可行性.
    • 在三个不同的视频文本数据集上进行了实验:电视节目检索,ActivityNet标题和Charades-STA.
    • 提出的方法成功地确定了视频查询对之间的部分相关性.

    结论:

    • 拟议的多尺度相似性学习 (MS-SL++) 网络对部分相关视频检索 (PRVR) 有效.
    • 这项工作为未来的研究奠定了基础,用于从复杂的多场景视频中检索相关内容.
    • 这些发现强调了考虑视频结构对于改进文本到视频检索的重要性.