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Multi-view video systems are designed to allow users to watch 3D videos or a scene recorded by multiple cameras from multiple viewpoints. They are actually used by crowd sourced journalism services or to cover events using a set of wireless drones/sensors filming the same scene, etc. Multi-view videos are captured by multiple cameras at different p...
Citations
... Drones also allow images to be captured in places that are difficult to access, and new technological developments allow for the integration of intelligent systems for the automatic identification of people or vehicles, which facilitates the recording of news in places without full visibility (Cavaliere, Loia, Saggese, Senatore, & Vento, 2019). Along these lines, it is also possible to use multi-view video systems to generate 360⁰ video images, which makes drone journalism more similar to immersive journalism (Ballout, Ghaddar, & Wehbi, 2019). Moreover, its ability to perform wireless broadcast or point-to-multipoint transmission with 5G links (Sekander, Tabassum, & Hossain, 2018) will promote the use of live connection. ...
... Research topics Andrejevic and Burdon (2015); Ballout, Ghaddar, and Wehbi (2019); Advantages, barriers and opportunities Belair-Gagnon, Owen, and Holton (2017); Cavaliere, Loia, Saggese, regarding the technology and use of drones Senatore, and Vento (2019); Clothier, Greer, Greer, and Mehta (2015); applied to journalism. Fernández-Barrero, 2018;Holton, Lawson, and Love (2015); Rule (2015); Sekander, Tabassum, and Hossain (2018) Contribution of drones to the media. ...
Emotional journalism is being driven by audiovisual technology such as drones, also known as unmanned aerial vehicles, which have demonstrated their usefulness in transforming objective news into news stories from a new visual perspective, facilitating access to dangerous or difficult places. They also allow for greater immersion by an audience that has become an active participant in the news, and they contribute to the storytelling of communication despite the risk to privacy and security that their misuse might entail. The aim of this research is to determine the differences in attention and intensity of the emotions experienced when viewing two pieces of audiovisual news: One was filmed with the technological support of a drone, and the other was produced in the conventional way. The techniques of eye tracking and galvanic skin response were used in 30 Spanish university students. The results suggest that attention was focused on the most spectacular visual elements, although the images filmed with a drone received a higher concentration of attention from the subjects, and this attention was spread throughout the entire image, which demonstrates that drones enhance the effectiveness of panoramic images with natural landscapes. The greatest emotion generated by viewing the images recorded with drones was statistically significant, but it was limited exclusively to these particular scenes, and not to the entire recording of the news.
Video communication has become a crucial part of our everyday lives due to its ease of use and applicability. Also, the demand for video streaming services has grown exponentially due to the recent Covid19 situation. Over the years, researchers have formulated different algorithms and architectures for effective video streaming. Due to the presence of a large variety of algorithms, system designers are often unable to decide the most optimum video streaming architectures for effective system design. In this work, some of the most recent and effective streaming architectures and algorithms are discussed along with their performance metrics. This will assist readers in deciding the most optimum algorithms and architectures for their application. Along with the algorithmic comparisons, this text also recommends certain improvements in the reviewed algorithms for further improving their performance.
