ARIB-TTML is a subtitle and caption standard for broadcasting systems in Japan. TTML profiles for Internet media subtitles and captions (IMSC) is a W3C recommendation. ARIB-TTML and IMSC are widely used in UHD satellite broadcasting in Japan and OTT operators; however, they have incompatible features and different description methods. These differences impede program exchange between broadband and broadcast. In this study, we propose a method for the interconversion of subtitles and captions described in ARIB-TTML and IMSC. We organized the features of each standard and proposed a conversion algorithm. The interconverted caption files were confirmed using a JavaScript-based caption renderer.

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With the proliferation of the Internet of Things and smart devices, content presentation devices and content types are constantly increasing. However, there is little consideration given to selecting the appropriate devices for presenting a particular content. Therefore, we propose a web-based device selection method based on semantic data from the resource description framework. In this study, we use notifications as examples of content, and a network graph representing users, content, and devices is arranged in a two-dimensional space by our user-centric force-directed algorithm. By selecting device nodes near the user node from the placement results, devices are determined to present content. Based on the proposed algorithm, a device selection system and a notification presentation application were prototyped. The experimental results show that the proposed method has a higher probability of selecting the correct devices than the existing method of obtaining vectors from RDF data.