Classification of video segmentation application scenarios

被引:12
|
作者
Correia, PL [1 ]
Pereira, F [1 ]
机构
[1] Univ Tecn Lisboa, Inst Telecommun, Inst Super Tecn, P-1049001 Lisbon, Portugal
关键词
segmentation scenarios; video segmentation;
D O I
10.1109/TCSVT.2004.826778
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Video analysis can be used in the context of a wide variety of applications and therefore a multiplicity of techniques has been proposed in the literature. Each of those techniques is usually devoted to solving a specific part of the complete analysis problem, unless the problem is rather simple. Typically, to be able to propose meaningful analysis solutions, the analysis problem must first be appropriately constrained, taking into account the relevant application environment. Then, complementary types of analysis techniques may have to be used in combination to achieve the desired results. This paper proposes a classification of segmentation applications into a set of scenarios, according to the different application constraints and goals. This allows an easier selection of the appropriate video segmentation solution for each specific application. Examples of segmentation solutions for the most relevant scenarios identified are presented.
引用
收藏
页码:735 / 741
页数:7
相关论文
共 50 条
  • [41] Joint video scene segmentation and classification based on hidden Markov model
    Huang, JC
    Liu, Z
    Wang, Y
    2000 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, PROCEEDINGS VOLS I-III, 2000, : 1551 - 1554
  • [42] Multilevel segmentation and integrated Bayesian model classification with an application to brain tumor segmentation
    Corso, Jason J.
    Sharon, Eitan
    Yuille, Alan
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2006, PT 2, 2006, 4191 : 790 - 798
  • [43] A Retrieval Optimized Surveillance Video Storage System for Campus Application Scenarios
    Ma, Shengcheng
    Chen, Xin
    Li, Zhuo
    Yang, Yingjie
    JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2018, 2018
  • [44] Analysis of Urban Transit Environment for Video Analytics Application and Processing Scenarios
    Park, Kwang-Young
    Park, Goo -Man
    INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS, 2012, 6 (02): : 427 - 430
  • [45] The Application of Deep Learning for the Segmentation and Classification of Coronary Arteries
    Kaba, Serife
    Haci, Huseyin
    Isin, Ali
    Ilhan, Ahmet
    Conkbayir, Cenk
    DIAGNOSTICS, 2023, 13 (13)
  • [46] Segmentation and classification of capnograms: application in respiratory variability analysis
    Herry, C. L.
    Townsend, D.
    Green, G. C.
    Bravi, A.
    Seely, A. J. E.
    PHYSIOLOGICAL MEASUREMENT, 2014, 35 (12) : 2343 - 2358
  • [47] Application of Chaos Genetic Algorithm in Automatic Video Object Segmentation
    Tan, Wenqun
    PROCEEDINGS OF 2010 ASIA-PACIFIC YOUTH CONFERENCE ON COMMUNICATION, VOLS 1 AND 2, 2010, : 73 - 78
  • [48] Application of MPEG-7 descriptors for temporal video segmentation
    Höynck, M
    Mayer, C
    Ohm, JR
    STORAGE AND RETRIEVAL FOR MEDIA DATABASES 2002, 2002, 4676 : 347 - 358
  • [49] Video based Children's Social Behavior Classification in Peer-play Scenarios
    Tian, Lu
    Duan, Dingrui
    Cui, Jinshi
    Wang, Li
    Zha, Hongbin
    Aghajan, Hamid
    2013 SECOND IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR 2013), 2013, : 770 - 774
  • [50] Temporal classification of natural gesture and application to video coding
    Wilson, AD
    Bobick, AF
    Cassell, J
    1997 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, 1997, : 948 - 954