Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Optimal Resource Sharing Amongst Device-to-Device Communication Using Particle Swarm Algorithm Read chapter Read first chapter

2021 | OriginalPaper | Chapter

A Comprehensive Survey on Content Analysis and Its Challenges

Authors : Ankitha A. Nayak, L. Dharmanna

Published in: Evolutionary Computing and Mobile Sustainable Networks

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In recent years the explosive development and growth of video technology and multimedia have created a new challenge in the field of computer vision. The tremendous increase in multimedia exchange like video, audio, image, etc., through the internet and other social media has led the way to content analysis. Content analysis is a technique to interpret textual data, multimedia data, and communication artifacts. In this paper we have provided an overview of content analysis and the more profound interpretation of video content analysis in a different area is shown. Specifically, in this paper, we have focused more on affective content analysis, its methodology, trends, and challenges.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Void-Aware Routing Protocols for Underwater Communication Networks: A Survey
next chapter Applications of Blockchain and Smart Contract for Sustainable Tourism Ecosystems
Literature
1.
Zhao S, Ding G, Chua T-S, Schuller BW, Keutzer K (2018) Affective image content analysis: a comprehensive survey. In: Proceedings of the twenty-seventh international joint conference on artificial intelligence (IJCAI-18)-2018
2.
Zhang L, Han Lau AC, Tjondronegoro D, Chandran V (2014) A pilot study on affective classification of facial images for emerging news topics. In: IEEE 16th international workshop on multimedia signal processing (MMSP), Jakarta, Indonesia, 22–24 Sep 2014
3.
Mittal N, Sharma D, Joshi ML (2018) Image sentiment analysis using deep learning. In: IEEE/WIC/ACM international conference on web intelligence (WI)
4.
Garcia AH (2017) Perceived emotion from images through deep interaction neural networks. In: 2017 seventh international conference on affective computing and intelligent (ACII)
5.
Bao S, Ma H, Li W (2014) ThuPIS: a new affective image system for psychological analysis. In: 2014 IEEE international symposium on bioelectronics and bioinformatics (IEEE ISBB 2014)
6.
Li N, Xia Y, Xia Y (2015) Semi-Supervised emotional classification of color images by learning from cloud. In: 2015 international conference on affective computing and intelligent interaction (ACII)
7.
Rao T, Xu M, Liu H, Wang J, Burnett I (2016) Multi-Scale blocks based image emotion classification using multiple instance learning IEEE
8.
Dimitrova N, Zhang H-J, Shahraray B, Sezan I, Huang T, Zakhor A (2002) Applications of video-content analysis and retrieval. IEEE
9.
Shih H-C (2017) A survey on content-aware video analysis for sports IEEE Trans Circuits Syst Video Technol 99(9), Jan
10.
Guan Y-P, Li JJ, Ye Y, Si J, Zhang H (2011) Content based sports video sequence analysis and synthesis-IEEE
11.
Liu H-Y, Zhang H (2005) A sports video browsing and retrieval system based on multimodal analysis: Sportsbr. In: Proceedings of the fourth international conference on machine learning and cybernetics, Guangzhou, 18–21 Aug 2005
12.
Russo MA, Kurniang goro L, Jo K-H (2019) Classification of sports videos with combination of deep learning models and transfer learning. In: 2019 international conference on electrical, computer and communication engineering (ECCE), 7–9 Feb 2019
13.
Russo MA, Filonenko A, Jo K-H (2017) Sports classification in sequential frames using CNN and RNN, IEEE
14.
Ashwin TS, Saran S, Mohana Reddy GR (2016) Video affective content analysis based on multimodalfeatures using a novel hybrid SVM-RBM classifier. In: 2016 IEEE Uttar Pradesh section international conference on electrical, computer and electronics engineering (UPCON), Indian Institute of Technology (Banaras Hindu University) Varanasi, India, 9–11 Dec 2016
15.
Hanjalic A, Xu L-Q (2001) User-oriented affective video content analysis. IEEE
16.
Hanjalic A (2003) Multimodal approach to measuring excitement in video. In: ICME, IEEE
17.
Kang H-B (2003) Emotional event detection using relevance feedback. IEEE
18.
Zheng Y, Zhu G, Jiang S, Huang Q, Gao W (2008) Visual-aural attention modeling for talk show video highlight detection. ICASSP, IEEE
19.
Furini M (2015) ViMood: using social emotions to improve video indexing. In: 2015 12th annual ieee consumer communications and networking conference (CCNC)
20.
Hanjalic A, Xu L-Q (2005) Affective video content representation and modeling. IEEE Trans Multimed 7(1), Feb
21.
Zhu Y, Wang S, Ji Q (2015) Emotion recognition from users’ eeg signals with the help of stimulus videos. IEEE
22.
Shahnaz C, Shoaib-Bin-Masud, Shafiul Hasan SM (2016) Emotion recognition based on wavelet analysis of empirical mode decomposed EEG signals responsive to music videos. In: 2016 IEEE region 10 conference (TENCON)—Proceedings of the international conference
23.
Wang M-L, Lin C-W, Mayer NM, Hu M-H, Lee P-Y. An brain-computer interface for video content analysis system for perceive emotions by using EEG. In: 2016 international conference on consumer electronics-Taiwan
Metadata
Title
A Comprehensive Survey on Content Analysis and Its Challenges
Authors
Ankitha A. Nayak
L. Dharmanna
Copyright Year
2021
Publisher
Springer Singapore
Book
Evolutionary Computing and Mobile Sustainable Networks

Print ISBN: 978-981-15-5257-1

Electronic ISBN: 978-981-15-5258-8

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-5258-8_70