No longer blinking: the status quo and future of image recognition technology

Image Identification

The development of mobile Internet, smart phones and social networks has brought a huge amount of picture information. According to BI's May article, Instagram uploads about 60 million pictures per day. In February this year, WhatsApp sent 500 million pictures per day; domestic The WeChat circle of friends is also driven by photo sharing. Images that are not restricted by geography and language gradually replaced cumbersome and subtle words and became the main medium for the dissemination of words. The main reason why pictures become the main medium of Internet information exchange lies in two points: First, from the habit of users reading information, pictures can provide users with more vivid, easy to understand, interesting and more artistic than the text. Information; Secondly, from the picture source, the smart phone gives us convenient shooting and screen capture methods, helping us to use pictures to collect and record information faster.

But with the picture becoming the main information carrier in the Internet, the problem arises. When the information is recorded by words, we can easily find the required content through the keyword search and edit it arbitrarily. When the information is recorded by the picture, we can't retrieve the content in the picture, which affects us from the picture. Find the efficiency of key content. The picture gives us a quick way to record and share information, but it reduces the efficiency of our information retrieval. In this environment, computer image recognition technology is particularly important.

Image recognition is a technique in which a computer processes, analyzes, and understands images to identify targets and objects in various modes. The recognition process includes image preprocessing, image segmentation, feature extraction, and judgment matching. Simply put, image recognition is how a computer reads the content of a picture like a human. With image recognition technology, we can not only get information faster through image search, but also create a new way of interacting with the outside world, and even make the external world run smarter. Baidu Li Yanhong mentioned in 2011 that “the era of new reading has arrived”. Now with the continuous advancement of graphic recognition technology, more and more technology companies are beginning to involve the field of graphic recognition, which marks the official arrival of the era of reading pictures. Will lead us into a smarter future.

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