Noor Felemban

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We consider video processing to detect complex activities in a distributed network consisting of mobile devices and video-cloud servers. To address varying task requirements and resource-constraints of mobile devices, we consider fragmentation of the video processing workflow. Fragmentation of the workflow allows for the mobile device to filter video clips(More)
Mobile devices with cameras have greatly assisted in the prevalence of online videos. Valuable information may be retrieved from videos for various purposes. While deep learning enables automatic information retrieval from videos, it is a demanding task for mobile devices despite recent advances in their computational capability. Given a network consisting(More)
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