Sports highlights generation based on acoustic events detection: A rugby case study

09/18/2015
by   Anant Baijal, et al.
0

We approach the challenging problem of generating highlights from sports broadcasts utilizing audio information only. A language-independent, multi-stage classification approach is employed for detection of key acoustic events which then act as a platform for summarization of highlight scenes. Objective results and human experience indicate that our system is highly efficient.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

04/27/2019

Joint Analysis of Acoustic Event and Scene Based on Multitask Learning

Acoustic event detection and scene classification are major research tas...
06/29/2017

Vision-based Detection of Acoustic Timed Events: a Case Study on Clarinet Note Onsets

Acoustic events often have a visual counterpart. Knowledge of visual inf...
02/11/2021

Audiovisual Highlight Detection in Videos

In this paper, we test the hypothesis that interesting events in unstruc...
04/06/2022

Detecting key Soccer match events to create highlights using Computer Vision

The research and data science community has been fascinated with the dev...
09/11/2018

A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features

In recent years, there has been increased interest in video summarizatio...
01/31/2015

An evaluation framework for event detection using a morphological model of acoustic scenes

This paper introduces a model of environmental acoustic scenes which ado...
08/07/2017

Video Highlights Detection and Summarization with Lag-Calibration based on Concept-Emotion Mapping of Crowd-sourced Time-Sync Comments

With the prevalence of video sharing, there are increasing demands for a...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.