Advanced image semantic parsing method based on human-computer interaction

Abstract

The embodiment of the invention discloses an advanced image semantic parsing method based on human-computer interaction. The advanced image semantic parsing method comprises the following steps: scanning a source image by a portable scanning device; identifying a target in the source image; filtering and parsing the content in the source image, and extracting effective knowledge; transmitting the image content to a user in a phonetic form through a semantic organization tool. According to the advanced image semantic parsing method disclosed by the embodiment of the invention, for visual impairment people and people with poor self-study ability, the simple scanning operation is only required, that the image is scanned by a computer with the assistance of the visual system is not required, and the method can help the vulnerable groups to experience a different world, and also can be used as a part of entertainment in the life; the method is simple to execute and good in portability.

Description

technical field [0001] The invention relates to the technical field of human-computer interaction, in particular to a method for high-level semantic analysis of images based on human-computer interaction. Background technique [0002] With the popularity of the Internet and the rapid development of storage technology, multimedia technology and database technology, people's requirements for image applications are increasing day by day. The physics community believes that the three kinds of information unique to human beings are language, symbols and images, and the dissemination of information largely depends on vision. At least 80% of external information is obtained through visual perception. Vision is the most important aspect of human beings and animals. a feeling of. The semantic information contained in an image is quite rich, but not all groups have normal visual function or good comprehension ability, so how to automatically parse images with the help of computers is...

AI Technical Summary

Problems solved by technology

[0014] At present, in the field of computer vision, most researchers focus on target recognition and target classification, and many models have been proposed for the classification of scene environments, but there are few studies on the recognition of events in a static image.

Moreover, most of the content-based image retrieval and image labeling are carried out in a single way, and there is no coherence to combine these tasks

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