Web-Based Architecture for Broadcast and Broadband Content with Device Collaboration in a Local Network

Abe, Shinya; Takiguchi, Tohru; Endo, Hiroki; Ikeo, Masaya; Fujisawa, Hiroshi

doi:10.1109/icce50685.2021.9427653

Cited by 3 publications

(3 citation statements)

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“…For broadband content, the operation was verified in all use cases between TVs, between smartphones, and between a TV and smartphone. Reference [15] reports an initial evaluation and overview of our prototype. In this paper, more detailed prototype architectures divided into broadcast and broadband contents are explained.…”

Section: Prototypementioning

confidence: 99%

Web-based Distributed Architecture for Local Device Collaboration on Integrated Broadcast-broadband Systems

Abe

Takiguchi

Endo

et al. 2023

Journal of Information Processing

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Integrated broadcast-broadband (IBB) systems have been standardized for device collaboration between broadcast and broadband contents as well as between TVs and diverse devices such as Internet of Things or smart devices. However, in existing IBB standards, TVs are typically identified as the primary devices (i.e., servers), and the other devices are identified as the companion devices (i.e., clients), which makes communication between two TVs impossible. To this end, we propose a common receiver architecture as a distributed IBB system that realizes local device cooperation with equal roles (client and server, i.e., "servient"). As an equal-role device collaboration for presenting content, this study focuses on the use case of switching devices while playing the same content. The proposed architecture acts as middleware to realize local device communication between TVs and other devices using web-based communication, such as hypertext transfer protocol. Device-independent cooperation is achieved using our developed prototype for TVs and smartphones, and the prototype is verified via thorough user testing with significantly satisfactory feedback.

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Section: Prototypementioning

confidence: 99%

Web-based Distributed Architecture for Local Device Collaboration on Integrated Broadcast-broadband Systems

Abe

Takiguchi

Endo

et al. 2023

Journal of Information Processing

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“…In the IoT-based media framework, we are aware of the W3C Web of Things (WoT) [10], which is based on Web technologies such as hypertext transfer protocol (HTTP) and WebSocket. In addition, we have proposed a common receiver architecture [2] that treats receivers as a Servient, as advocated in the W3C WoT. Usually, we use a TV in the living room to view content and a smartphone in bed.…”

Section: Related Workmentioning

confidence: 99%

“…Televisions and other smart devices can work together to deliver content over an integrated broadcast-broadband (IBB) system. Based on the presentation of content in collaboration with devices and the distribution of smart devices, we propose the concept of an IoT-based media framework [1], [2]. In this framework, we provide content experiences to users by leveraging user context, content information, and the environment.…”

Section: Introductionmentioning

confidence: 99%

Web-based Force-directed Adaptive Device Selection for User Notification

Abe

Fujii

Shimoda

et al. 2023

Journal of Information Processing

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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.

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