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An Automatic Video Classification System Based on a Combination of HMM and Video Summarization

Cheng Lu, Mark S. Drew, James Au
2003 International Journal of Smart Engineering System Design  
Finally we classify TV videos using a trained Hidden Markov Model that utilizes the compressed chromaticity signatures as well as temporal features of videos derived from their keyframe summaries.  ...  As digital libraries and video databases grow, we need methods to assist us in the synthesis and analysis of digital video.  ...  Finally, we perform the video classification task using Hidden Markov Models.  ... 
doi:10.1080/10255810305039 fatcat:3b6cdsx2pbfqjjmp7lxcjzmbaq

Unsupervised discovery of multilevel statistical video structures using hierarchical hidden Markov models

Lexing Xie, Shih-Fu Chang, A. Divakaran, Huifang Sun
2003 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)  
Markov models.  ...  We model the multilevel statistical structure as hierarchical hidden Markov models, and present efficient algorithms for learning both the parameters and the model structure.  ...  Based on the two-level Markov setup described above, we use two-level hierarchical hidden Markov model to model structures in video.  ... 
doi:10.1109/icme.2003.1221240 dblp:conf/icmcs/XieCDS03 fatcat:qfcusj27tjfjhlj7vhbcth3bqu

Analysis of Time-multiplexed Security Videos

Ákos Utasi, László Czuni
2009 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance  
We will present hidden Markov and hidden semi-Markov model based real-time detectors and their usage for video segmentation and anomalous event detection.  ...  In this paper we present robust statistical methods for segmentation and preprocessing of time-multiplexed videos.  ...  In Sec. 2 we briefly introduce our hidden models (hidden Markov and hidden semi-Markov model). Offline recognition is discussed in Sec. 3.  ... 
doi:10.1109/avss.2009.73 dblp:conf/avss/UtasiC09 fatcat:ldd7dcfm2ndrlk5ionykt56xke

Image multi-scale edge detection using 3-D Hidden Markov Model based on the non-decimated wavelet

Renqi Zhang, Wanli Ouyang, Wai-Kuen Cham
2009 2009 16th IEEE International Conference on Image Processing (ICIP)  
Based on the non-decimated wavelet which is shift-invariant, in this paper, we develop a new edge detecting technique using 3-D Hidden Markov Model.  ...  In addition, the proposed model has the potential to be an efficient multi-scale statistical modeling tool for other image or video processing tasks.  ...  Inspired by the non-decimated wavelet and three-dimensional Hidden Markov Model (3-D HMM) [9] , we propose a new multi-scale statistical model 3-D NWHMM in this paper.  ... 
doi:10.1109/icip.2009.5414061 dblp:conf/icip/ZhangOC09 fatcat:5tfzugr6bvhw7ftttfv7loh3se

HMM Classifier for Human Activity Recognition

MS Kanchan Gaikwad
2012 Computer Science & Engineering An International Journal  
KEY WORDS: Human Activity recognition, Hidden Markov Model, Hybrid model of HMM, Image capturing from Video, complex activity.  ...  This paper present novel HMM (Hidden Markov Model) based approach for Human activity recognition from video. There are different approaches of HMM to recognize action of human from video.  ...  Section 2 TRADITIONAL HMM CLASSIFIER A hidden Markov model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobserved (hidden) states.  ... 
doi:10.5121/cseij.2012.2403 fatcat:6r4j23pm5nembe2qne45hqye74

Unusual Event Detection via Multi-camera Video Mining

Hanning Zhou, D. Kimber
2006 18th International Conference on Pattern Recognition (ICPR'06)  
Our framework combines multiple video streams in the inference level, with a coupled hidden Markov Model (CHMM).  ...  We use two-stage training to bootstrap a set of usual events, and train a CHMM over the set.  ...  Combine Multiple Video Streams with Coupled Hidden Markov Model CHMM's are widely used to analyze multiple streams of intrinsically related data flows.  ... 
doi:10.1109/icpr.2006.1149 dblp:conf/icpr/ZhouK06 fatcat:x5jfkoabhva6jcorhffflr4iqy

HMM Model Selection Issues for Soccer Video [chapter]

Mark Baillie, Joemon M. Jose, Cornelis J. van Rijsbergen
2004 Lecture Notes in Computer Science  
In this paper, we provide an in-depth investigation into three Hidden Markov Model (HMM) selection approaches. Where HMM, a popular indexing framework, is often applied in a ad hoc manner.  ...  As a case study, we also illustrate how a superior HMM framework optimised using a Bayesian HMM selection strategy, can both segment and then classify Soccer video, yielding promising results.  ...  In this paper we model audio content using the Hidden Markov Model (HMM), a popular indexing framework.  ... 
doi:10.1007/978-3-540-27814-6_12 fatcat:3ke57wiljfeoxmvdsliphoxvei

Research on Analysis of Sports Video Multi-Pattern Fusion

Jia Wang, Haitao Yang, Yang Wang, Jingmeng Sun
2015 International Journal of Database Theory and Application  
Based the framework, three instances of statistical models are constructed and compared.  ...  Experimental results indicate our method with multimodal fusion processes semantic events in sports video more effectively.  ...  Known as Coupled Hidden Markov Model (CHMM) dynamic Bayesian networks have been applied widely Figure 3 3 Figure 3.  ... 
doi:10.14257/ijdta.2015.8.6.28 fatcat:ygjxpa4s5zbefei35hcvjextd4

Hidden Markov Model Based Events Detection in Soccer Video [chapter]

Guoying Jin, Linmi Tao, Guangyou Xu
2004 Lecture Notes in Computer Science  
This paper presents an algorithm developed based on hidden Markov model for cues fusion and event inference in soccer video.  ...  The states of the events are employed to model the observations of the five cues, which are extracted from the shot sequences directly.  ...  Hidden Markov Model (HMM) is a powerful tool that has been shown to be of great use in speech and signal processing [8] .  ... 
doi:10.1007/978-3-540-30125-7_75 fatcat:lozjhdzih5bnvhaqsnehpr6oie

Unsupervised Mining of Statistical Temporal Structures in Video [chapter]

Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang Sun
2003 Video Mining  
In this work we model multi-level statistical structures with hierarchical hidden Markov models based on a multi-level Markov dependency assumption.  ...  In this chapter we present algorithms for unsupervised mining of structures in video using multi-scale statistical models.  ...  Hierarchical hidden Markov models Based on the two-level Markov setup described above, we use a twolevel hierarchical hidden Markov model to model structures in video.  ... 
doi:10.1007/978-1-4757-6928-9_10 fatcat:rng64f4dujepleetkm73g5vq3m

Distributed multi-dimensional hidden Markov models for image and trajectory-based video classifications

Xiang Ma, Dan Schonfeld, Ashfaq Khokhar
2008 Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing  
In this paper, we propose a novel multi-dimensional distributed hidden Markov model (DHMM) framework.  ...  We first extend the theory of 2D hidden Markov models (HMMs) to arbitrary causal multi-dimensional HMMs and provide the classification and training algorithms for this model.  ...  DISTRIBUTED MULTI-DIMENSIONAL HIDDEN MARKOV MODEL: THEORY We propose a novel solution to arbitrary non-causal multidimensional hidden Markov model, by distributing it into multiple causal distributed hidden  ... 
doi:10.1109/icassp.2008.4517770 dblp:conf/icassp/MaSK08 fatcat:qlvvdmftxrbjnlxm7zhyc5wjrm

Human Activity Recognition using OpenCv & Python

Mr. Siddharth Sharma
2020 International Journal for Research in Applied Science and Engineering Technology  
This paper presents a part of newer Human activity/interaction recognition onto human skeletal poses for video surveillance using one stationary camera for the recorded video data set.  ...  The idea of the proposed system is a system which can be used for surveillance and monitoring applications.  ...  of optical flow and Hidden Markov Model(HMM) instead of the Gaussian Markov Model.  ... 
doi:10.22214/ijraset.2020.5106 fatcat:zye5wp75qzg5jhgqyotnvl3uc4

Topic transition detection using hierarchical hidden Markov and semi-Markov models

Dinh Q. Phung, T. V. Duong, S. Venkatesh, Hung H. Bui
2005 Proceedings of the 13th annual ACM international conference on Multimedia - MULTIMEDIA '05  
We consider two models in this paper: the extended Hierarchical Hidden Markov Model (HHMM) and the Coxian Switching Hidden semi-Markov Model (S-HSMM) because they allow the natural decomposition of semantics  ...  Furthermore, the use of the Coxian distribution in the S-HSMM makes it tractable to deal with long sequences in video.  ...  The most widely used pobabilistic model is the hidden Markov model (HMM).  ... 
doi:10.1145/1101149.1101153 dblp:conf/mm/PhungDVB05 fatcat:5ijcwesr4fhi7guwp5aytsd67y

Abnormal Behavior Recognition Using Self-Adaptive Hidden Markov Models [chapter]

Jun Yin, Yan Meng
2009 Lecture Notes in Computer Science  
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper.  ...  In this model, if an unknown sequence cannot be classified into any trained HMMs, a new HMM will be generated and trained, where online training is applied on SA-HMMs to dynamically generate the high-level  ...  in the context of hidden Markov models.  ... 
doi:10.1007/978-3-642-02611-9_34 fatcat:mlhlbnmqwzh65icyyqg5sqqz7u

Rate-control algorithms testing by using video source model

Eugeniy Belyaev, Andrey Turlikov, Anna Ukhanova
2008 2008 International Conference on Telecommunications  
In this paper the method of rate control algorithms testing by the use of video source model is suggested.  ...  Index Terms -rate-control, rate-distortion model, video source model, JPEG2000.  ...  Video source model based on hidden Markov chain This paper presents video source model, based on the hidden Markov chain (see fig. 4 ).  ... 
doi:10.1109/ictel.2008.4652660 dblp:conf/ict/BelyaevTU08 fatcat:clje6wukonbfdpdcpxzmitxmwi
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