Abstract

Multiple sensorial media (mulsemedia) combines multiple media elements which engage three or more of human senses, and as most other media content, requires support for delivery over the existing networks. This paper proposes an adaptive mulsemedia framework (ADAMS) for delivering scalable video and sensorial data to users. Unlike existing two-dimensional joint source-channel adaptation solutions for video streaming, the ADAMS framework includes three joint adaptation dimensions: video source, sensorial source, and network optimization. Using an MPEG-7 description scheme, ADAMS recommends the integration of multiple sensorial effects (i.e., haptic, olfaction, air motion, etc.) as metadata into multimedia streams. ADAMS design includes both coarse- and fine-grained adaptation modules on the server side: mulsemedia flow adaptation and packet priority scheduling. Feedback from subjective quality evaluation and network conditions is used to develop the two modules. Subjective evaluation investigated users' enjoyment levels when exposed to mulsemedia and multimedia sequences, respectively and to study users' preference levels of some sensorial effects in the context of mulsemedia sequences with video components at different quality levels. Results of the subjective study inform guidelines for an adaptive strategy that selects the optimal combination for video segments and sensorial data for a given bandwidth constraint and user requirement. User perceptual tests show how ADAMS outperforms existing multimedia delivery solutions in terms of both user perceived quality and user enjoyment during adaptive streaming of various mulsemedia content. In doing so, it highlights the case for tailored, adaptive mulsemedia delivery over traditional multimedia adaptive transport mechanisms.

Highlights

  • T HE latest rich media services including video streaming, voice over IP, video conferencing, on-line gaming, social networking, etc, require high bandwidth networks for their distribution to users

  • This paper proposes an ADAptive MulSemedia delivery solution (ADAMS) for end-user quality of experience enhancement

  • The UDP agents carried traffic generated by Constant Bit Rate (CBR) applications and the TCP agents transported File Transfer Protocol (FTP) application traffic

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Summary

INTRODUCTION

T HE latest rich media services including video streaming, voice over IP, video conferencing, on-line gaming, social networking, etc, require high bandwidth networks for their distribution to users. Despite the increased bandwidth availability, the exponential growth in the number of users, coupled with growing network resource requirements of the most popular applications, makes for an uphill battle to support high quality for these services This is especially true for multimedia-based services, more sensitive to network delivery factors. Against this background, diverse solutions have been proposed to increase user perceived quality, including adaptive multimedia delivery schemes [1]–[3]. This system can be extended by including more human sensory-related media objects such as humidity, temperature, etc Making use of this mulsemedia presentation tool, subjective experimental tests were performed and their results indicate how ADAMS provides high levels of user experience, especially in terms of enjoyment of sensorial effects, under highly loaded network conditions.

Multimedia Applications
Olfaction
Haptics
Mulsemedia
Overview
Test-Bed Description
Result Analysis
Test Conclusions
Solution Overview
ADAMS Architecture
ADAMS: TAILORED FOR MULSEMEDIA DELIVERY
Mulsemedia Data Packet Header
Mulsemedia Data Combination
Sensorial Media Synchronization
Conclusions
ADAMS - USER PERCEPTUAL TESTING
Mulsemedia Synchronization
Scenarios and Assessment
CONCLUSIONS
Findings
Full Text
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