ImageSpirit: Verbal guided image parsing

• Main Authors: CHENG, Ming-Ming, ZHENG, Shuai, LIN, Wen-yan, VINEET, Vibhav, STURGESS, Paul, CROOK, Nigel, MITRA, Niloy J., TORR, Philip
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Design; Human Factors; Languages; Image parsing; natural language control; speech interface; object class segmentation; image parsing; visual attributes; multilabel CRF; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/4854; https://ink.library.smu.edu.sg/context/sis_research/article/5857/viewcontent/ImageSpirit__Verbal_Guided_Image_Parsing__AV.pdf
• Institution: Singapore Management University

Humans describe images in terms of nouns and adjectives while algorithms operate on images represented as sets of pixels. Bridging this gap between how humans would like to access images versus their typical representation is the goal of image parsing, which involves assigning object and attribute l...