NDLI: Automatic Image Synthesis from Keywords Using Scene Context

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Automatic Image Synthesis from Keywords Using Scene Context

Content Provider	ACM Digital Library
Author	Kanezaki, Asako Harada, Tatsuya Inaba, Sho
Abstract	Text is one of the simplest way to express one's idea, and an image is one of the most impactive way to do so. Therefore, if a system can synthesize an image from text without direct user manipulation, novel image synthesis applications will be opened to users without artistic skills. In such a system, which objects to synthesize will be declared in texts. However, information about positional relations and scale of objects is not much provided and must be estimated using common sense. As described in this paper, we develop a system that can automatically synthesize objects to an image, given the background image and class name of the target synthesizing object. With the inputs as the background image and keywords, images for synthesizing objects are searched automatically. Although some previously developed systems that can synthesize an image from sketches and paintings, this is the first system that can estimate the position, scale, and appearance of objects and automatically synthesize them to images without direct user input. We propose a scene context, which indicates the position, scale, and appearance of synthesizing objects. The contribution of this paper is twofold: (1) the scene context extraction method for automatic image synthesis and (2) application of automatic image synthesis using the scene context.
Starting Page	1149
Ending Page	1152
Page Count	4
File Format	PDF
ISBN	9781450330633
DOI	10.1145/2647868.2655009
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-11-03
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Object appearance Similar image search Scale context Spatial context
Content Type	Text
Resource Type	Article

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