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Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.
Video synopsis combines a visual summary of stored video together with an indexing mechanism. When a summary is required, all objects from the target period are collected and shifted in time to create a much shorter synopsis video showing maximum activity. A synopsis video clip is generated, in real time, in which objects a
Default PDF and file viewer for GNOME; replaces GPdf. Supports addition and removal (since v3.14), of basic text note annotations. CUPS: Apache License 2.0: No No No Yes Printing system can render any document to a PDF file, thus any Linux program with print capability can produce PDF files Pdftk: GPLv2: No Yes Yes
Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.
A video generated by Sora of someone lying in a bed with a cat on it, containing several mistakes The technology behind Sora is an adaptation of the technology behind DALL-E 3 . According to OpenAI, Sora is a diffusion transformer [ 10 ] – a denoising latent diffusion model with one Transformer as the denoiser.
File Viewer and Converter applications allow viewing data, exporting data in a different file format, and copying information to the clipboard. File Viewer and Editor applications allow the user to view existing files, modify an existing file's content, or create a new file of a specific type. The difference in file viewers' functionality ...
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