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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
Häxan (1922), a horror essay film about the historical roots and superstitions surrounding witchcraft. A film essay (also essay film or cinematic essay) consists of the evolution of a theme or an idea rather than a plot per se, or the film literally being a cinematic accompaniment to a narrator reading an essay. [9]
Digital storytelling is a short form of digital media production that allows everyday people to create and share their stories online. The method is frequently used in schools, [1] [2] [3] museums, [4] libraries, [5] social work and health settings, [6] [7] and communities. [8]
A plot summary is a brief description of a piece of literature that explains what happens. In a plot summary, the author and title of the book should be referred to and it is usually no more than a paragraph long while summarizing the main points of the story. [40] [41]
As a rule, try to expand other sections of the article providing a real-world perspective before adding to the plot summary. The best fiction articles tend to have more real-world information than plot summary, not the other way around. If no more real-world information can be found then consider omitting some details of the plot.
The AOL.com video experience serves up the best video content from AOL and around the web, curating informative and entertaining snackable videos.
The story itself is considered a performance so there is a synergy among the aforementioned elements. [1] In the story, the narrator may draw attention to the narrative or to himself as storyteller. [2] The structure often includes the following: Tell riddles to test the audience. Audience becomes a chorus and comments on the story.
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.