In this paper, we introduce a Face in Video Recognition (FivR) framework which performs real-time key-frame extraction on IoT edge devices, then conduct face ...
In this paper, we introduce a Face in. Video Recognition (FivR) framework which performs real-time key-frame extraction on IoT edge devices, then conduct face.
In this paper, we introduce a Face in Video Recognition (FivR) framework which performs real-time key-frame extraction on IoT edge devices, then conduct face ...
A Face in Video Recognition (FivR) framework which performs real-time key-frame extraction on IoT edge devices, then conduct face recognition using the ...
... In the "low-power image recognition challenge" (LPIRC), the goal is to maximize the ratio between accuracy and energy consumed in processing 20,000 images ...
IoT edge device based key frame extraction for face in video recognition. X Qi, C Liu, S Schuckers. 2018 18th IEEE/ACM International Symposium on Cluster ...
” IoT Edge Device Based Key Frame Extraction for Face in Video Recognition”.2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing ...
IoT edge device based key frame extraction for face in video recognition. X Qi, C Liu, S Schuckers. 2018 18th IEEE/ACM International Symposium on Cluster ...
IoT device based Key-Frame Extraction Engine for Face Recognition in Video ... There are some researches on performing face recognition (FR) on IoT edge devices.
CNN based key frame extraction for face in video recognition
www.researchgate.net › ... › Recognition
This solution requires the transfer of detected faces from edge devices to servers. At that point, face quality assessment (FQA) methods [21], [22], ...