Hipi

In: Computers and Technology

Submitted By GRAQUEL1123
Words 4082
Pages 17
HIPI: A Hadoop Image Processing Interface for Image-based MapReduce Tasks
Chris Sweeney

Liu Liu

Sean Arietta

Jason Lawrence

University of Virginia

Images
1...k

Cull

...

...

images n-k....n Hipi Image
Bundle

Map 1

Map i

Reduce 1

Shuffle

...

Result

Reduce j

Figure 1: A typical MapReduce pipeline using our Hadoop Image Processing Interface with n images, i map nodes, and j reduce nodes

Abstract

1

The amount of images being uploaded to the internet is rapidly increasing, with Facebook users uploading over 2.5 billion new photos every month [Facebook 2010], however, applications that make use of this data are severely lacking. Current computer vision applications use a small number of input images because of the difficulty is in acquiring computational resources and storage options for large amounts of data [Guo. . . 2005; White et al. 2010]. As such, development of vision applications that use a large set of images has been limited [Ghemawat and Gobioff. . . 2003]. The
Hadoop Mapreduce platform provides a system for large and computationally intensive distributed processing (Dean, 2004), though use of Hadoops system is severely limited by the technical complexities of developing useful applications [Ghemawat and Gobioff. . . 2003; White et al. 2010]. To immediately address this, we propose an open-source Hadoop Image Processing Interface (HIPI) that aims to create an interface for computer vision with MapReduce technology. HIPI abstracts the highly technical details of
Hadoop’s system and is flexible enough to implement many techniques in current computer vision literature. This paper describes the HIPI framework, and describes two example applications that have been implemented with HIPI. The goal of HIPI is to create a tool that will make development of large-scale image processing and vision…...

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