Browsing by Author "Cavallaro, A."

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    EditorialPublicationOpen Access
    Guest editorial trustworthiness in social multimedia analytics and delivery
    (IEEE, 2019-03) Su, Z.; Fang, Q.; Wang, H.; Mehrotra, S.; Beğen, Ali Cengiz; Ye, Q.; Cavallaro, A.; Computer Science; BEĞEN, Ali Cengiz
    The papers in this special issue focus on trustworthiness in multimedia communications. Recently, social multimedia content is being delivered to users with a high quality of experience (QoE) with the advance of multimedia technologies and social networks. However, as a huge amount of social users have various demands to exchange and share multimedia content with each other, it becomes a new challenge for the current social multimedia analytics and delivery to deal with the various attacks perpetrated by malicious users or through spam contents. Therefore, the trust and risk management for social multimedia content based on the social tie of users become of prime importance to face the unpredicted threats and subsequent damage. This Special Section aims to provide a premier forum for researchers working on the trust-based social multimedia analytics and delivery. It also provides the opportunity for both academic and industrial researchers to discuss recent results and provide solutions to the above-mentioned challenges.
  • Placeholder
    ArticlePublicationMetadata only
    Live multicast video streaming from drones: an experimental study
    (Springer Nature, 2020-01-01) Muzaffar, R.; Adam, Evşen Yanmaz; Raffelsberger, C.; Bettstetter, C.; Cavallaro, A.; Electrical & Electronics Engineering; ADAM, Evşen Yanmaz
    We present and evaluate a multicast framework for point-to-multipoint and multipoint-to-point-to-multipoint video streaming that is applicable if both source and receiver nodes are mobile. Receiver nodes can join a multicast group by selecting a particular video stream and are dynamically elected as designated nodes based on their signal quality to provide feedback about packet reception. We evaluate the proposed application-layer rate-adaptive multicast video streaming over an aerial ad-hoc network that uses IEEE 802.11, a desirable protocol that, however, does not support a reliable multicast mechanism due to its inability to provide feedback from the receivers. Our rate-adaptive approach outperforms legacy multicast in terms of goodput, delay, and packet loss. Moreover, we obtain a gain in video quality (PSNR) of 30%\for point-to-multipoint and of for multipoint-to-point-to-multipoint streaming.