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相关概念视频

Language and Cognition01:27

Language and Cognition

715
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
715
Language Development01:22

Language Development

852
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
852
Components of Language01:24

Components of Language

752
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
752
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

3.5K
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
3.5K
Sensory Modalities01:15

Sensory Modalities

3.7K
Sensation typically is the process by which the sensory receptors and sense organs detect stimuli from the internal and external environment and transmit this information to the central nervous system for processing.
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
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Updated: Jan 16, 2026

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
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一项关于视频时间接地与多模式大语言模型的调查

Jianlong Wu, Wei Liu, Ye Liu

    IEEE transactions on pattern analysis and machine intelligence
    |September 29, 2025
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    概括
    此摘要是机器生成的。

    多模式大语言模型 (MLLMs) 正在推进视频时间接地 (VTG) 以更好地理解视频. 本调查回顾了VTG-MLLMs,涵盖了他们的角色,培训和特征处理.

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    相关实验视频

    Last Updated: Jan 16, 2026

    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
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    Published on: October 13, 2018

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    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
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    科学领域:

    • 人工智能的人工智能
    • 计算机视觉 计算机视觉
    • 自然语言处理自然语言处理.

    背景情况:

    • 视频时间接地 (VTG) 对于细粒度视频理解至关重要.
    • 多模式大语言模型 (MLLMs) 显示出卓越的理解和推理能力,推动了VTG的进步.
    • 现有的调查缺乏关注VTG-MLLMs的具体进展和应用.

    研究的目的:

    • 系统地审查和分类关于VTG-MLLMs的当前研究.
    • 提供该领域的全面概述,解决现有文献中的差距.
    • 分析VTG-MLLMs中的功能角色,训练范式和特征处理技术.

    主要方法:

    • 使用一个三维分类:MLLM功能角色,训练范式和视频功能处理.
    • 分析建筑意义,时间推理策略和时空表示效率.
    • 讨论基准数据集,评估协议和经验发现.

    主要成果:

    • 在性能和通用化方面,VTG-MLLMs超过了传统的微调方法 (零射击,多任务,多域).
    • 许多MLLM的架构角色,培训策略和特征处理都对VTG的有效性产生了重大影响.
    • 目前的研究表明,MLLM驱动的VTG的能力和潜力越来越大.

    结论:

    • VTG-MLLMs代表了对细粒度视频理解的重大飞跃.
    • 需要进一步的研究来解决现有的局限性,并探索有希望的未来方向.
    • 这项调查为了解和推进VTG-MLLM研究提供了基础框架.