Ensuring the quality of experience for mobile augmented visual search applications: Fast, low bitrate and high accuracy

The explosive growth of advanced smart devices, such as smart phones equipped with a high resolution camera, touch-screen, Wi-Fi and advanced multimedia functionalities, is dramatically changed the way people interact with multimedia content and provides new ways of interacting with traditional media publications such as newspapers and magazines. The Quality of Experience (QoE) of users of these new multimedia services has become a primary concern to ensure their success. The focus of this research is to investigate the user QoE for emerging Mobile Augmented Visual Search (MAVS) applications used to connect readers of printed media with corresponding online digital content. MAVS applications rely on automatically matching a captured visual scene to an image in a database to trigger the retrieval of augmented multimedia content to users. It is a complex issue to find an efficient solution to measure the QoE in such applications due to the diversity of users as well as variation of real world conditions, device limitations and bandwidth of the communication network. On the basis of the investigation of QoE related key influencing factors, the ultimate goal is to find optimal solutions to ensure the user QoE is maximized through this work.