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For online prediction in live streaming applications, selecting low-complexity features is critical to ensure low-latency video streaming without disruptions. For each frame/ video/ video segment, two features, i.e., the average texture energy and the average gradient of the texture energy are determined. A DCT-based energy function is introduced to determine the block-wise texture of each…
The Future of HTTP Adaptive Streaming (HAS) According to multiple reports, video viewing will account for as much as 82% of all internet traffic by the end of 2022, as such the popularity of HTTP Adaptive Streaming (HAS) is steadily increasing to efficiently support modern demand. Furthermore, improvements in video characteristics such as frame rate,…
The heterogeneity of the devices on the Internet and the difference among the network conditions of the users make designing a video delivery tool that can adapt to all these differences while maximizing the quality of experience (QoE) for each user a tricky problem. HTTP Adaptive Streaming (HAS) is the de-facto solution for video delivery…
Immersive Viewer Experiences with Light Field Imaging Light field imaging is a promising technology that will provide a more immersive viewing experience. It enables some post-processing tasks like depth estimation, changing the viewport, refocusing, etc. To this end, a huge amount of data needs to be collected, processed, stored, and transmitted, which leaves the challenging…
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