[HTML][HTML] Beyond the hype: Big data concepts, methods, and analytics
Size is the first, and at times, the only dimension that leaps out at the mention of big data.
This paper attempts to offer a broader definition of big data that captures its other unique and …
This paper attempts to offer a broader definition of big data that captures its other unique and …
Pedestrian attribute recognition at far distance
The capability of recognizing pedestrian attributes, such as gender and clothing style, at far
distance, is of practical interest in far-view surveillance scenarios where face and body close …
distance, is of practical interest in far-view surveillance scenarios where face and body close …
Multi-attribute learning for pedestrian attribute recognition in surveillance scenarios
In real video surveillance scenarios, visual pedestrian attributes, such as gender, backpack,
clothes types, are very important for pedestrian retrieval and person reidentification. Existing …
clothes types, are very important for pedestrian retrieval and person reidentification. Existing …
Attention-based pedestrian attribute analysis
Recognizing the pedestrian attributes in surveillance scenes is an inherently challenging
task, especially for the pedestrian images with large pose variations, complex backgrounds …
task, especially for the pedestrian images with large pose variations, complex backgrounds …
Efficient group-n encoding and decoding for facial age estimation
Different ages are closely related especially among the adjacent ages because aging is a
slow and extremely non-stationary process with much randomness. To explore the …
slow and extremely non-stationary process with much randomness. To explore the …
RES: Real-time video stream analytics using edge enhanced clouds
With increasing availability and use of Internet of Things (IoT) devices such as sensors and
video cameras, large amounts of streaming data is now being produced at high velocity …
video cameras, large amounts of streaming data is now being produced at high velocity …
[HTML][HTML] Big data analytics in E-commerce for the US and China through literature reviewing
W Zhuang, MC Wang, I Nakamoto… - Journal of Systems …, 2021 - degruyter.com
Big data analytics (BDA) in e-commerce, which is an emerging field that started in 2006,
deeply affects the development of global e-commerce, especially its layout and performance …
deeply affects the development of global e-commerce, especially its layout and performance …
Edge enhanced deep learning system for large-scale video stream analytics
Applying deep learning models to large-scale IoT data is a compute-intensive task and
needs significant computational resources. Existing approaches transfer this big data from …
needs significant computational resources. Existing approaches transfer this big data from …
Deep and ordinal ensemble learning for human age estimation from facial images
Some recent work treats age estimation as an ordinal ranking task and decomposes it into
multiple binary classifications. However, a theoretical defect lies in this type of methods: the …
multiple binary classifications. However, a theoretical defect lies in this type of methods: the …
Human-computer interaction with big data analytics
Big Data has been playing a vital role in almost all environments such as healthcare,
education, business organizations and scientific research. Big data analytics requires …
education, business organizations and scientific research. Big data analytics requires …