Galaxy + Hadoop: Toward a Collaborative and Scalable Image Processing Toolbox in Cloud.
Shiping ChenTomasz BednarzPiotr SzulDadong WangYulia ArzhaevaNeil BurdettAlex KhassapovJohn ZicSurya NepalTim GureveyJohn A. TaylorPublished in: ICSOC Workshops (2013)
Keyphrases
- map reduce
- cloud computing
- image processing
- mapreduce framework
- commodity hardware
- open source
- machine vision
- cloud computing platform
- data analytics
- data center
- big data
- image processing algorithms
- image enhancement
- computer graphics
- multi user
- parallel computation
- pattern recognition
- data intensive
- software package
- cloud computing environment
- data sets
- multiscale
- remote sensing
- collaborative environment
- edge detection
- data management
- efficient implementation
- computer vision
- distributed computing
- medical imaging
- image segmentation
- signal processing
- image denoising
- knowledge sharing
- service providers
- color images
- database
- parallel algorithm
- feature extraction
- cloud services
- high resolution
- computer supported collaborative learning
- computing platform
- highly scalable
- denoising
- mathematical morphology
- parallel computing
- lightweight
- join algorithms
- image compression