Think of 3 examples where Data, Computer Vision and NLP are integrated in common life.
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Answer:
Scope of Integration of Computer Vision and NLP
The integration of vision and language was not going smoothly in a top-down deliberate manner, where researchers came up with a set of principles. Integrated techniques were rather developed bottom-up, as some pioneers identified certain rather specific and narrow problems, attempted multiple solutions, and found a satisfactory outcome.
The new trajectory started with understanding that most present-day files are multimedia, that they contain interrelated images, videos, and natural language texts. For example, a typical news article contains a written by a journalist and a photo related to the news content. Furthermore, there may be a clip video that contains a reporter or a snapshot of the scene where the event in the news occurred. Language and visual data provide two sets of information that are combined into a single story, making the basis for appropriate and unambiguous communication.
This understanding gave rise to multiple applications of integrated approach to visual and textual content not only in working with multimedia files, but also in the fields of robotics, visual translations and distributional semantics.