Classification of TV programs based on audio information using hidden Markov model

被引：52
|
作者：
Liu, Z [1 ]
Huang, JC [1 ]
Wang, Y [1 ]
机构：
[1] Polytech Univ, Dept Elect Engn, Brooklyn, NY 11201 USA
来源：
1998 IEEE SECOND WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING | 1998年
关键词：
D O I：
10.1109/MMSP.1998.738908
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes a technique for classifying TV broadcast video using Hidden Markov Model (HMM) [1]. Here we consider the problem of discriminating five types of TV programs, namely commercials, basketball games, football games, news reports, and weather forecasts. Eight frame-based audio features are used to characterize the low-level audio properties, and fourteen clip-based audio features are extracted based on these frame-based features to characterize the high-level audio properties. For each type of these five TV programs, we build an erg;odic HMM using the clip-based features as observation vectors. The maximum likelihood method is then used for classifying testing data using the trained models.
引用
收藏
页码：27 / 32
页数：6
相关论文
共 50 条
  • [1] Structuring soccer video based on audio classification and segmentation using hidden Markov model
    Chen, JY
    Li, YH
    Lao, SY
    Wu, LD
    Bai, L
    [J]. IMAGE AND VIDEO RETRIEVAL, PROCEEDINGS, 2004, 3115 : 98 - 105
  • [2] Automatic Musical Genre Classification of Audio Using Hidden Markov Model
    Ikhsan, Imam
    Novamizanti, Ledya
    Ramatryana, I. Nyoman Apraz
    [J]. 2014 2ND INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY (ICOICT), 2014,
  • [3] HEALTHCARE AUDIO EVENT CLASSIFICATION USING HIDDEN MARKOV MODELS AND HIERARCHICAL HIDDEN MARKOV MODELS
    Peng, Ya-Ti
    Lin, Ching-Yung
    Sun, Ming-Ting
    Tsai, Kun-Cheng
    [J]. ICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3, 2009, : 1218 - +
  • [4] Audio noise detection using hidden Markov model
    Sabri, M
    Alirezaie, J
    Krishnan, S
    [J]. PROCEEDINGS OF THE 2003 IEEE WORKSHOP ON STATISTICAL SIGNAL PROCESSING, 2003, : 637 - 640
  • [5] ON-LINE GENRE CLASSIFICATION OF TV PROGRAMS USING AUDIO CONTENT
    Kim, Samuel
    Georgiou, Panayiotis
    Narayanan, Shrikanth
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2013, : 798 - 802
  • [6] Implementation of Content Based Video Classification using Hidden Markov Model
    Narra, Dhana Lakshmi
    Latha, Y. Madhavee
    Damodaram, A.
    Prasanna, K. Lakshmi
    [J]. 2017 7TH IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2017, : 635 - 638
  • [7] Audio-visual based emotion recognition using tripled hidden Markov model
    Song, ML
    Chen, C
    You, MY
    [J]. 2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL V, PROCEEDINGS: DESIGN AND IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS INDUSTRY TECHNOLOGY TRACKS MACHINE LEARNING FOR SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING SIGNAL PROCESSING FOR EDUCATION, 2004, : 877 - 880
  • [8] Audio content-based highlight detection using adaptive hidden Markov model
    Zhang, Bin
    Dou, Weibei
    Chen, Liming
    [J]. ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 1, 2006, : 798 - 803
  • [9] Using hidden Markov model for information extraction based on multiple templates
    Liu, YZ
    Lin, YP
    Chen, ZP
    [J]. 2003 INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING, PROCEEDINGS, 2003, : 394 - 399
  • [10] Classification and Quantification of Occlusion Using Hidden Markov Model
    Sahoo, C. R.
    Sural, Shamik
    Rigoll, Gerhard
    Sanchez, A.
    [J]. PATTERN RECOGNITION AND MACHINE INTELLIGENCE, 2011, 6744 : 305 - 310
12345