2,604 research outputs found

    Video streaming

    Get PDF

    Video Calling Over Wi-Fi Network using Android Phones

    Get PDF
    The intent of the paper is to develop a system that would perform video call over Wi-Fi network free of cost. Information of the caller or receiver is stored in database. For storing the information of caller and receiver we have a unique key called IMEI number i.e. International Mobile Equipment Identity. Before making a video call the user is supposed to have android mobile phone with video calling Wi-Fi application i.e. our app must be installed on it. After installing app on the user’s mobile, user will register himself on our server. Registration task will be handled by connection manager and information of each user is stored in data-base. Once user gets registered, User will be shown the list of online users so that user will able to communicate with the other user by making a call or Receiving a call. Keywords: IMEI, Android, Wi-Fi

    Beyond multimedia adaptation: Quality of experience-aware multi-sensorial media delivery

    Get PDF
    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
    • 

    corecore