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Automatic Extraction of Focused Video Object from Low Depth-of-Field Image Sequences  

Park, Jung-Woo (한국정보통신대학교 공학부)
Kim, Chang-Ick (한국정보통신대학교 공학부)
Publication Information
Journal of KIISE:Software and Applications / v.33, no.10, 2006 , pp. 851-861 More about this Journal
Abstract
The paper proposes a novel unsupervised video object segmentation algorithm for image sequences with low depth-of-field (DOF), which is a popular photographic technique enabling to represent the intention of photographer by giving a clear focus only on an object-of-interest (OOI). The proposed algorithm largely consists of two modules. The first module automatically extracts OOIs from the first frame by separating sharply focused OOIs from other out-of-focused foreground or background objects. The second module tracks OOIs for the rest of the video sequence, aimed at running the system in real-time, or at least, semi-real-time. The experimental results indicate that the proposed algorithm provides an effective tool, which can be a basis of applications, such as video analysis for virtual reality, immersive video system, photo-realistic video scene generation and video indexing systems.
Keywords
Object of interest; low depth of field; video object segmentation; immersive video;
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