PROCEEDINGS OF THE ITE WINTER ANNUAL CONVENTION
Online ISSN : 2424-2306
Print ISSN : 1343-4357
ISSN-L : 1343-4357
2017 ITE Winter Annual Convention
Session ID : 15B-2
Conference information

Real-time Image Segmentation using Machine Learning Techniques for 4K Video
*Hirokazu KAKINUMAHiromu MIYASHITAYoshihide TONOMURAHidenobu NAGATAKota HIDAKA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

In this paper, we propose a new real-time image segmentation framework using machine learning techniques. Our framework maps input feature vectors to suitable new feature vectors in neural network. The experimental results show that the proposed framework improves segmentation accuracy and its performance is 60 fps for 4K video.

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© 2017 The Institute of Image Information and Television Engineers
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