Interactive Machine Learning tool with Automatic Tagging for Video Recognition System
نویسنده
چکیده
Interactive machine learning (IML) is proposed to train intelligent systems. This paper proposes a new approach to solve the feedback delay and low visibility problem of conventional IML handling large-scale data. The approach features high-speed feedback using an approximate nearest neighbor, process controllability by the user, and priority based visualization. The validity of the approach is shown by an experiment with a prototype using a video where the lighting changes. ACM Classification: H5.2 [Information interfaces and presentation]: User Interfaces. Graphical user interfaces. General terms: Algorithms, Design, Human Factors
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