Multimedia big data computing and Internet of Things applications: A taxonomy and process model
With an exponential increase in the provisioning of multimedia devices over the Internet of
Things (IoT), a significant amount of multimedia data (also referred to as multimedia big data …
Things (IoT), a significant amount of multimedia data (also referred to as multimedia big data …
Online unsupervised multi-view feature selection
In this paper, we propose an Online unsupervised Multi-View Feature Selection method,
OMVFS, which deals with large-scale/streaming multi-view data in an online fashion …
OMVFS, which deals with large-scale/streaming multi-view data in an online fashion …
Information Is Selection—A Review of Basics Shows Substantial Potential for Improvement of Digital Information Representation
W Orthuber - International journal of environmental research and …, 2020 - mdpi.com
Any piece of information is a selection from a set of possibilities. In this paper, this set is
called a “domain”. Digital information consists of number sequences, which are selections …
called a “domain”. Digital information consists of number sequences, which are selections …
Hadoop image processing framework
With the rapid growth of social media, the number of images being uploaded to the internet
is exploding. Massive quantities of images are shared through multi-platform services such …
is exploding. Massive quantities of images are shared through multi-platform services such …
Adam-a database and information retrieval system for big multimedia collections
I Giangreco, I Al Kabary… - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
The past decade has seen the rapid proliferation of low-priced devices for recording image,
audio and video data in nearly unlimited quantity. Multimedia is Big Data, not only in terms of …
audio and video data in nearly unlimited quantity. Multimedia is Big Data, not only in terms of …
Pivot-based approximate k-NN similarity joins for big high-dimensional data
Given an appropriate similarity model, the k-nearest neighbor similarity join represents a
useful yet costly operator for data mining, data analysis and data exploration applications …
useful yet costly operator for data mining, data analysis and data exploration applications …
Towards engineering a web-scale multimedia service: A case study using Spark
Computing power has now become abundant with multi-core machines, grids and clouds,
but it remains a challenge to harness the available power and move towards gracefully …
but it remains a challenge to harness the available power and move towards gracefully …
Towards cloud-based image-integrated similarity search in big data
A Tsymbal, E Meissner, M Kelm… - … on Biomedical and …, 2014 - ieeexplore.ieee.org
The volume of data accumulated by institutions and individuals and containing valuable and
even critical information grows steadily with time complicating timely access to this …
even critical information grows steadily with time complicating timely access to this …
Efficient Augmented Intelligence Framework for Bladder Lesion Detection
PURPOSE Development of intelligence systems for bladder lesion detection is cost
intensive. An efficient strategy to develop such intelligence solutions is needed. MATERIALS …
intensive. An efficient strategy to develop such intelligence solutions is needed. MATERIALS …
Comparing MapReduce-based k-NN similarity joins on Hadoop for high-dimensional data
Similarity joins represent a useful operator for data mining, data analysis and data
exploration applications. With the exponential growth of data to be analyzed, distributed …
exploration applications. With the exponential growth of data to be analyzed, distributed …