Abstract: A method is performed at a computing system having one or more processors and memory. The method includes receiving a first video clip having three or more image frames and computing a first hash pattern, including: (i) computing a temporal sequence of differential frames and (ii) for each differential frame: identifying a respective plurality of feature points and computing a respective hash value that represents spatial positioning of the respective feature points with respect to each other. The method includes receiving a second video clip having three or more image frames and computing a second hash pattern by applying steps (i) and (ii) to the three or more image frames. The method includes computing a distance between the first hash pattern and the second hash pattern and determining that the first and second video clips match when the computed distance is less than a threshold distance.

Abstract: A method of analyzing and organizing printed documents is performed at a computing system having one or more processors and memory. The method includes receiving one or more printed documents, each including one or more pages. The method includes processing each page of each printed document. The method includes scanning the respective page to obtain an image file. The method also includes determining a document class for the respective page by inputting the image file to one or more trained classifier models, and generating a semantic analyzer pipeline including at least an optical character recognition (OCR)-based semantic analyzer. The method also includes applying the OCR-based semantic analyzer to the preprocessed output page to generate a preprocessed output page and to extract semantic information corresponding to the respective page. The method includes determining a digital organization for the respective printed document based on the extracted semantic information and the document class.