Studying natural language, and especially how people describe the world around them can help us better understand the visual world. In turn, it can also help us in the quest to generate natural language that describes this world in a human manner. We present a simple yet effective approach to automatically compose image descriptions given computer vision based inputs and using web-scale n-grams. Unlike most previous work that summarizes or retrieves pre-existing text relevant to an image, our method composes sentences entirely from scratch. Experimental results indicate that it is viable to generate simple textual descriptions that are pertinent to the specific content of an image, while permitting creativity in the description -making for more human-like annotations than previous approaches.
Li et al. REF present a modest yet active technique to automatically compose image descriptions expected computer vision based inputs and using web-scale n-grams.
Composing Simple Image Descriptions using Web-scale N-grams
Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Computer Science