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  2. Timeline of online video - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_online_video

    Time period. Key developments in online video web sight. 1974–1992. Development of practical video coding standards. The development of the discrete cosine transform (DCT) lossy compression method leads to the first practical video formats, H.261 and MPEG, initially used for online video conferencing. 1993–2004.

  3. The AOL.com video experience serves up the best video content from AOL and around the web, curating informative and entertaining snackable videos.

  4. Comparison of video codecs - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_video_codecs

    Α video codec is software or a device that provides encoding and decoding for digital video, and which may or may not include the use of video compression and/or decompression. Most codecs are typically implementations of video coding formats. The compression may employ lossy data compression, so that quality-measurement issues become important.

  5. Vimeo - Wikipedia

    en.wikipedia.org/wiki/Vimeo

    Vimeo.com. Vimeo, Inc. (/ ˈvɪmioʊ /) [3] is an American video hosting, sharing, services provider, and broadcaster headquartered in New York City. Vimeo focuses on the delivery of high-definition video across a range of devices. [a] Vimeo's business model is through software as a service (SaaS). They derive revenue by providing subscription ...

  6. High-definition video - Wikipedia

    en.wikipedia.org/wiki/High-definition_video

    High definition video (prerecorded and broadcast) is defined threefold, by: The number of lines in the vertical display resolution. High-definition television (HDTV) resolution is 1,080 or 720 lines. In contrast, regular digital television (DTV) is 480 lines (upon which NTSC is based, 480 visible scanlines out of 525) or 576 lines (upon which ...

  7. Text-to-video model - Wikipedia

    en.wikipedia.org/wiki/Text-to-video_model

    A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models. [2]

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