The detection of objects via neural networks plays a key role in various video analytics, but
consumes huge resources. Due to the limited on-device computing capability, such real-time …

Video streaming market has been growing rapidly for the past two decades. YouTube and
Netflix, for example, are part of everyday life for many of us. Although network bandwidth has …

Deep learning shows potential for empowering devices to help individuals in the
examination of extensive, massive data sets through developing specific algorithms that get …

Despite the remarkable success of deep-learning in image and video recognition,
constructing real-time recognition systems for computationally intensive tasks such as spatio …

Recently, there has been a significant increase in the use of deep learning and low-
computing edge devices for analysis of video-based systems, particularly in the field of …

Multi-view inference can utilize visual information from several views like a human being
and significantly improve accuracy in some scenes, but it inevitably incurs more computing …

Significant enthusiasm around AI uptake has been witnessed across societies globally. The
electoral process--the time, place and manner of elections within democratic nations--has …

Kablosuz teknoloji alanındaki ilerlemeler ve kablosuz iletişimin bir sensör cihazına
entegrasyonu gerçekleştirilmesi ile kablolu algılama sistemlerine alternatif ve üstün bir …

Visually impaired individual faces many challenges when comes to object recognition and
routing inside or out. Despite the availability of numerous visual assistance systems, the …

This paper presents an in‐depth study of face detection, face feature extraction, and face
classification from three important components of a high‐capacity face recognition system …