February 2015
Beginner to intermediate
498 pages
16h 57m
English
Content preview from Big Data
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Chapter 18
Semantic-Based Heterogeneous Multimedia Big Data Retrieval
Kehua Guo and Jianhua Ma
Abstract
Nowadays, data heterogeneity is one of the most critical features for multimedia Big Data; searching heterogeneous multimedia documents reflecting users’ query intent from a Big Data environment is a difficult task in information retrieval and pattern recognition. This chapter proposes a heterogeneous multimedia Big Data retrieval framework that can achieve good retrieval accuracy and performance. The chapter is organized as follows. In Section 18.1, we address the particularity of heterogeneous multimedia retrieval in a Big Data environment and introduce the background of the topic. Then literatures related to current multimedia retrieval ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.