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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
The simpleshow company (gmbh) operates a cloud-based video generator that produces, from user scripts, video clips which have the appearance of animated slideshows. Simpleshow-generated videos which have a Creative Commons license (e.g., "explainer videos" from the simpleshow foundation) or other compatible license can be included in Wikipedia ...
A story generator or plot generator is a tool that generates basic narratives or plot ideas. The generator could be in the form of a computer program, a chart with multiple columns, a book composed of panels that flip independently of one another, or a set of several adjacent reels that spin independently of one another, allowing a user to select elements of a narrative plot.
In March 2017, a story function was introduced in Facebook Messenger. [7] In February 2018, Google launched AMP Stories, bringing a story-style format to certain Google search results on mobile devices. [8] In August 2018, YouTube introduced a stories function that initially was limited to pictures, but was later expanded to support short video ...
Sora is a text-to-video model developed by OpenAI. The model generates short video clips based on user prompts, and can also extend existing short videos. Sora was released publicly for ChatGPT Plus and ChatGPT Pro users in December 2024. [1] [2]
The PLATO system was launched in 1960 at the University of Illinois and subsequently commercially marketed by Control Data Corporation.It offered early forms of social media features with innovations such as Notes, PLATO's message-forum application; TERM-talk, its instant-messaging feature; Talkomatic, perhaps the first online chat room; News Report, a crowdsourced online newspaper, and blog ...
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There are several architectures that have been used to create Text-to-Video models. Similar to Text-to-Image models, these models can be trained using Recurrent Neural Networks (RNNs) such as long short-term memory (LSTM) networks, which has been used for Pixel Transformation Models and Stochastic Video Generation Models, which aid in consistency and realism respectively. [31]
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