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请输入英文单字，中文词皆可：

video    音标拼音: [v'ɪdio]
n. U电视,视频;录像
a. 电视的,视频的;录像的

U电视,视频;录像电视的,视频的;录像的

video
视 视频

video
n 1: the visible part of a television transmission; "they could
still receive the sound but the picture was gone" [synonym:
{video}, {picture}]
2: a recording of both the visual and audible components
(especially one containing a recording of a movie or
television program) [synonym: {video recording}, {video}]
3: (computer science) the appearance of text and graphics on a
video display
4: broadcasting visual images of stationary or moving objects;
"she is a star of screen and video"; "Television is a medium
because it is neither rare nor well done" - Ernie Kovacs
[synonym: {television}, {telecasting}, {TV}, {video}]

Moving images presented as a sequence of {static
images} (called "frames") representing snapshots of the scene,
taken at regularly spaced time intervals, e.g. 50 frames per
second. Apart from the frame rate, other important properties
of a video are the {resolution} and {colour depth} of the
individual images.

Digital video data is typically stored and transmitted in a
format like {MPEG} or {H.264} that includes synchoronised
{sound}.

Unlike broadcast {television}, digital video on a computer or
network uses {compression}. Compression is even more
important for video that for static images due to the large
amount of data involved in even a short video. Furthermore,
compression allows video to be transmitted via a channel whose
bandwidth is less than the raw data rate implied by the
resolution and frame rate. This allows the recipient to start
displaying the video before the transmission is complete, a
process known as {streaming}.

Compression can be relatively slow but decompression is done
in {real-time} with the picture quality and {frame rate}
varying with the processing power available and the size and
scaling of the picture.

There are many types of software for displaying video on
computers including {Windows Media Player} from {Microsoft},
{QuickTime} from {Apple Computer}, {DivX}, {VLC}, {RealPlayer}
and {Acorn Computers}' {Replay}.

(2011-01-04)

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英文字典中文字典相关资料:


  • Wan: Open and Advanced Large-Scale Video Generative Models
    Wan: Open and Advanced Large-Scale Video Generative Models In this repository, we present Wan2 1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation Wan2 1 offers these key features:
  • Wan: Open and Advanced Large-Scale Video Generative Models
    Visit their webpage for more details LightX2V, a lightweight and efficient video generation framework that integrates Wan2 1 and Wan2 2, supporting multiple engineering acceleration techniques for fast inference LightX2V-HuggingFace, offers a variety of Wan-based step-distillation models, quantized models, and lightweight VAE models
  • GitHub - k4yt3x video2x: A machine learning-based video super . . .
    A machine learning-based video super resolution and frame interpolation framework Est Hack the Valley II, 2018 - k4yt3x video2x
  • Find videos in Search - Google Help
    You can find video results for most searches on Google Search To help you find specific info, some videos are tagged with Key Moments Key Moments work like chapters in a book to help you find the info you want Important: Key Moments are added by video creators, or in some cases Google may detect the content and add Key Moments automatically
  • YouTube Help
    Official YouTube Help Center where you can find tips and tutorials on using YouTube and other answers to frequently asked questions
  • Troubleshoot YouTube video errors - Google Help
    Check the YouTube video’s resolution and the recommended speed needed to play the video The table below shows the approximate speeds recommended to play each video resolution
  • Video-R1: Reinforcing Video Reasoning in MLLMs - GitHub
    Our Video-R1-7B obtain strong performance on several video reasoning benchmarks For example, Video-R1-7B attains a 35 8% accuracy on video spatial reasoning benchmark VSI-bench, surpassing the commercial proprietary model GPT-4o
  • Stable Video Infinity: Infinite-Length Video Generation with Error . . .
    We propose Stable Video Infinity (SVI) that is able to generate infinite-length videos with high temporal consistency, plausible scene transitions, and controllable streaming storylines
  • GitHub - Lightricks LTX-Video: Official repository for LTX-Video
    Official repository for LTX-Video Contribute to Lightricks LTX-Video development by creating an account on GitHub
  • GitHub - deepbeepmeep Wan2GP: A fast AI Video Generator for the GPU . . .
    A fast AI Video Generator for the GPU Poor Supports Wan 2 1 2 2, Qwen Image, Hunyuan Video, LTX Video and Flux - deepbeepmeep Wan2GP
  • GitHub - DepthAnything Video-Depth-Anything: [CVPR 2025 Highlight . . .
    This work presents Video Depth Anything based on Depth Anything V2, which can be applied to arbitrarily long videos without compromising quality, consistency, or generalization ability Compared with other diffusion-based models, it enjoys faster inference speed, fewer parameters, and higher consistent depth accuracy
  • GitHub - yt-dlp yt-dlp: A feature-rich command-line audio video . . .
    yt-dlp is a feature-rich command-line audio video downloader with support for thousands of sites The project is a fork of youtube-dl based on the now inactive youtube-dlc INSTALLATION Detailed instructions Release Files Update Dependencies Compile USAGE AND OPTIONS General Options Network Options Geo-restriction Video Selection Download Options
  • Generate Video Overviews in NotebookLM - Google Help
    Video Overviews, including voices and visuals, are AI-generated and may contain inaccuracies or audio glitches NotebookLM may take a while to generate the Video Overview (sometimes, more than 30 minutes)
  • GitHub - Lightricks LTX-2: Official Python inference and LoRA trainer . . .
    LTX-2 is the first DiT-based audio-video foundation model that contains all core capabilities of modern video generation in one model: synchronized audio and video, high fidelity, multiple performance modes, production-ready outputs, API access, and open access
  • Pixelle-Video —— AI 全自动短视频引擎 - GitHub
    Pixelle-Video 采用模块化设计，整个视频生成流程清晰简洁： 从输入文本到最终视频输出，整个流程简洁清晰： 文案生成 → 配图规划 → 逐帧处理 → 视频合成 每个环节都支持灵活定制，可选择不同的 AI 模型、音频引擎、视觉风格等，满足个性化创作需求。





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