August 2024
Intermediate to advanced
370 pages
9h 45m
English
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Chapter Five: Egocentric video summarization
Abstract
Our objective in this chapter is summarizing first-person (egocentric) videos at frame level. Two different solutions are proposed. The first solution explores different graph representations, which include graph-based shot boundary detection, graph-based center-surround model generation and feature extraction, followed by a modified Minimum Spanning Tree (MST) based clustering. We show how the above components can be combined to achieve accurate yet computationally efficient egocentric video summarization. We present a second solution for egocentric video summarization using deep features and an optimal clustering approach. Based on an augmented pretrained convolutional neural network (CNN), ...
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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.