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  2. SubRip - Wikipedia

    en.wikipedia.org/wiki/SubRip

    SubRip is a free software program for Microsoft Windows which extracts subtitles and their timings from various video formats to a text file. It is released under the GNU GPL . [ 9 ] Its subtitle format's file extension is .srt and is widely supported.

  3. libavcodec - Wikipedia

    en.wikipedia.org/wiki/Libavcodec

    Free and open-source software portal; libavcodec is a free and open-source [4] library of codecs for encoding and decoding video and audio data. [5]libavcodec is an integral part of many open-source multimedia applications and frameworks.

  4. Captions (app) - Wikipedia

    en.wikipedia.org/wiki/Captions_(app)

    Captions is a video-editing and AI research company headquartered in New York City. Their flagship app, Captions , is available on iOS , Android , and Web and offers a suite of tools aimed at streamlining the creation and editing of videos.

  5. Sora (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Sora_(text-to-video_model)

    Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [7] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [5]

  6. MediaHuman Audio Converter - Wikipedia

    en.wikipedia.org/wiki/MediaHuman_Audio_Converter

    MediaHuman Audio Converter is a freeware audio conversion utility developed by MediaHuman Ltd. The program is used to convert across different audio formats, [1] split lossless audio files using CUE and extract audio from video files. The app can be run on Mac [2] starting from OS X 10.6 and on Windows XP and higher. [3]

  7. Text-to-video model - Wikipedia

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

    By utilizing a pre-trained image diffusion model as a base generator, the model efficiently generated high-quality and coherent videos. Fine-tuning the pre-trained model on video data addressed the domain gap between image and video data, enhancing the model's ability to produce realistic and consistent video sequences. [ 14 ]