A Survey on Video Genre Classification Techniques

被引：0

作者：

Bhoraniya, Dharti M. ^{[1
]}

Ratanpara, Tushar, V ^{[1
]}

机构：

[1] Dharmsinh Desai Univ, Dept Comp Engn, Nadiad, India

来源：

PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL (I2C2) | 2017年

关键词：

Genre classification; audio/video; feature extraction; classifier;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With recent advances in digital technologies the amount of multimedia data is increasing every day. Therefore, there is a strong demand for a procedure that classifies multimedia data according to users need. Video genre classification system is used to classify audio or video content into different genres. In this paper, various video genre classification literature is surveyed. It is observed that different audio and visual features are used for classification. Many classifiers such as support vector machine, K-nearest neighbor, neural network and gaussian mixture model are used. Applications and issues in video genre classification are discussed. Paper is ended with conclusion and an idea for future work.

引用

页数：5

共 50 条

[31] A Survey on Different Video Restoration Techniques
Mathew, Liz Maria
Suma, R.
Kizhakkethottam, Jubilant J.
[J]. PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON SOFT-COMPUTING AND NETWORKS SECURITY (ICSNS 2015), 2015,
[32] Automatic video classification: A survey of the literature
Brezeale, Darin
Cook, Diane J.
[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2008, 38 (03): : 416 - 430
[33] Genre Classification using Feature Extraction and Deep Learning Techniques
Kumar, Akshi
Rajpal, Arjun
Rathore, Dushyant
[J]. PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SYSTEMS ENGINEERING (KSE), 2018, : 175 - 180
[34] Applying supervised learning techniques to Brazilian music genre classification
[J]. 2020 XLVI LATIN AMERICAN COMPUTING CONFERENCE (CLEI 2020), 2021, : 102 - 107
[35] Music Genre Classification and Recommendation by Using Machine Learning Techniques
Elbir, Ahmet
Cam, Hilmi Bilal
Iyican, Mehmet Emre
Ozturk, Berkay
Aydin, Nizamettin
[J]. 2018 INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS CONFERENCE (ASYU), 2018, : 135 - 139
[36] A survey on symbolic data-based music genre classification
Correa, Debora C.
Ap Rodrigues, Francisco
[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2016, 60 : 190 - 210
[37] Detecting cartoons:: A case study in automatic video-genre classification
Ianeva, TI
de Vries, AP
Röhrig, H
[J]. 2003 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL I, PROCEEDINGS, 2003, : 449 - 452
[38] Supervised Video Genre Classification Using Optimum-Path Forest
Martins, Guilherme B.
Almeida, Jurandy
Papa, Joao Paulo
[J]. PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2015, 2015, 9423 : 735 - 742
[39] A Survey of Image Classification Methods and Techniques
Nath, Siddhartha Sankar
Kar, Jajnyaseni
Mishra, Girish
Chakraborty, Sayan
Dey, Nilanjan
[J]. 2014 INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES (ICCICCT), 2014, : 554 - 557
[40] A SURVEY ON CLASSIFICATION TECHNIQUES FOR TEXT MINING
Brindha, S.
Sukumaran, S.
Prabha, K.
[J]. 2016 3RD INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATION SYSTEMS (ICACCS), 2016,

← 1 2 3 4 5 →