## Series article directory ##
01 Introduction to modern computer vision: What is a picture (6700 words/25 pictures)
02 Introduction to modern computer vision: What is video (4900 words/22 pictures)
03 Introduction to modern computer vision: What is image feature encoding (4000 words/16 pictures）
04 Introduction to modern computer vision: What is image classification?
05 Introduction to modern computer vision: What is target detection
06 Introduction to modern computer vision: What is image segmentation
07 Introduction to modern computer vision: What is image generation
08 Introduction to modern computer vision: What hardware acceleration
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Whether in the field of traditional computer vision or in the field of modern computer vision based on deep learning, image feature encoding (Feature Embedding) is an unavoidable technical concept. It is a low-dimensional representation (structured data) of ultra-high-dimensional data (unstructured data) such as pictures. All algorithm operations based on pictures can be transformed into Image feature encoding operations, such as image similarity comparison, image retrieval, image classification, etc. In modern computer vision, most image algorithms basically revolve around feature encoding.
(The following is the image format version)
