Bipartite Graph Matching for Keyframe Summary Evaluation

12/19/2017
by   Iain A. D. Gunn, et al.
0

A keyframe summary, or "static storyboard", is a collection of frames from a video designed to summarise its semantic content. Many algorithms have been proposed to extract such summaries automatically. How best to evaluate these outputs is an important but little-discussed question. We review the current methods for matching frames between two summaries in the formalism of graph theory. Our analysis revealed different behaviours of these methods, which we illustrate with a number of case studies. Based on the results, we recommend a greedy matching algorithm due to Kannappan et al.

READ FULL TEXT

page 6

page 7

page 8

research
12/19/2017

On the Evaluation of Video Keyframe Summaries using User Ground Truth

Given the great interest in creating keyframe summaries from video, it i...
research
02/06/2017

Textually Customized Video Summaries

The best summary of a long video differs among different people due to i...
research
06/23/2014

VideoSET: Video Summary Evaluation through Text

In this paper we present VideoSET, a method for Video Summary Evaluation...
research
05/01/2014

VSCAN: An Enhanced Video Summarization using Density-based Spatial Clustering

In this paper, we present VSCAN, a novel approach for generating static ...
research
11/29/2019

A Graph-based Ranking Approach to Extract Key-frames for Static Video Summarization

Video abstraction has become one of the efficient approaches to grasp th...
research
08/01/2018

From Thumbnails to Summaries - A single Deep Neural Network to Rule Them All

Video summaries come in many forms, from traditional single-image thumbn...
research
07/13/2016

Re-presenting a Story by Emotional Factors using Sentimental Analysis Method

Remembering an event is affected by personal emotional status. We examin...

Please sign up or login with your details

Forgot password? Click here to reset