Visual recognition by learning from web data
Wen Li · 2014
With the rapid development of digital cameras, we have witnessed an explosive growth of digital images.Every day, a tremendous amount of images together with rich contextual information (e.g., tags, categories and captions) are posted to Internet.There is an increasing interest in exploiting those web images for building intelligent visual recognition systems.While some works have been proposed to collect large scale image datasets by crawling web images from Internet, considerable human efforts are still required to annotate those images to train classifiers for visual recognition.PSD Positive Semi-Definite QP Quadratic Programming SDP Semi-definite Programming MIP Mixed Integer Programming xvi