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SemaMediaData Lecture Video Analysis API Search Results & Alternatives
video OCR is an analysis cascade which includes video segmentation (hard-cut), video text detection/recognition, and named entity recognition from video text (NER is a free add-on feature). The analysis result of this method enables automatic video retrieval and indexing as well as content-based video search in video archives. A detailed example can be found in our demo website: https://www.semamediadata.com/demo/video-ocr/
Video hard cut detection is used for separating a video stream into a set of individual scenes by detecting camera hard-transitions automatically. Based on the result the user can obtain a fast overview on the video content by browsing extracted key-frames from each video scene. Furthermore, with the corresponding time information the user can directly navigate to the expected video content. Demo link: https://www.semamediadata.com/demo/video-sbd/
This API method is developed for recognizing text content from images. It differs from conventional print OCR engines by using a set of sophisticated preprocessing such as text localisation, background reparation etc. It is suited for processing overlay text and some of scene text occurred within video frames and images with limited rotation and enough contrast ratio.