MIT researchers have developed a method for identifying what’s happening in video files by taking a lesson from approaches to understanding what’s happening in language. It’s potentially very important research. Advances in computer vision are opening our eyes to what’s possible when we’re able to analyze still images, but video provides much more context and therefore promises an even greater depth of understanding.

The new approach to video analysis takes a page from approaches to textual analysis, such as natural language processing, that examine each part of a piece of content in order to figure out what the whole thing means. With a sentence of text, for example, algorithms can identify which words are the nouns, verbs, adjectives and other parts of speech, and then determine what the combination of those words and their order means. For video, the MIT researchers’ algorithms identify the things happening in individual frames and…

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