DeepAI AI Chat
Log In Sign Up

Video Summarization: Study of various techniques

01/21/2021
by   Ravi Raj, et al.
0

A comparative study of various techniques which can be used for summarization of Videos i.e. Video to Video conversion is presented along with respective architecture, results, strengths and shortcomings. In all approaches, a lengthy video is converted into a shorter video which aims to capture all important events that are present in the original video. The definition of 'important event' may vary according to the context, such as a sports video and a documentary may have different events which are classified as important.

READ FULL TEXT
09/28/2016

Video Summarization using Deep Semantic Features

This paper presents a video summarization technique for an Internet vide...
07/13/2017

Query-Aware Sparse Coding for Multi-Video Summarization

Given the explosive growth of online videos, it is becoming increasingly...
04/22/2019

NLP Driven Ensemble Based Automatic Subtitle Generation and Semantic Video Summarization Technique

This paper proposes an automatic subtitle generation and semantic video ...
05/26/2018

Video Summarization Using Fully Convolutional Sequence Networks

This paper addresses the problem of video summarization. Given an input ...
10/21/2022

Video Summarization Overview

With the broad growth of video capturing devices and applications on the...
07/29/2019

Meta Learning for Task-Driven Video Summarization

Existing video summarization approaches mainly concentrate on sequential...
06/01/2016

A Comparative Study of Algorithms for Realtime Panoramic Video Blending

Unlike image blending algorithms, video blending algorithms have been li...