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Detect and extract text within an input video to make it searchable. For example, you can capture video of a road scene from a moving vehicle, recognize signposts in the captured scene, and alert the driver about the signs.
Recognize the occurrence of brand slogans or other textual landmarks in videos, such as printed words on t-shirts, displayed text on billboards or walls, or hand-written exerts on papers.
Detect text displayed in lecture videos to enhance indexing and retrieving from a large library of educational video contents.
Automatically extract and recognize news captions and annotations to help locate topics of interest in digital news video libraries.
Analyze, index, and retrieve multimedia content related to entities such as location names, cities, street names, brand names, or product prices appearing in video files.
Streamline your video production by displaying specific words during video recording, like "Shot Start" and "Shot End". Leverage video scrapping to automatically detect those annotations during post-video production and use them to find and extract relevant clips.
Find optical characters matching patterns such as vehicle license plates, traffic signs, brand slogans, headers in presentation slides, or handwritten words, and use them to split your videos.
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