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Video shot motion characterization based on hierarchical overlapped growing neural gas networks

X. Cao, P. N. Suganthan
2003 Multimedia Systems  
This paper describes a hierarchical overlapped architecture (HOGNG) based upon the growing neural gas (GNG) network [7] to perform this task.  ...  Automatic video shot motion characterization is an important step in video indexing and retrieval after temporal video segmentation.  ...  Conclusions In this paper, we have proposed a hierarchical overlapped neural network model and a new scheme based on this model for video shot motion characterization.  ... 
doi:10.1007/s00530-003-0107-2 fatcat:aujx77ws7rcy5ndf6aqm56g6oy

Computational Intelligence in Multimedia Processing: Foundation and Trends [chapter]

Aboul-Ella Hassanien, Ajith Abraham, Janusz Kacprzyk, James F. Peters
2008 Studies in Computational Intelligence  
A review of the current literature on CI based approaches to various problems in multimedia computing such as speech, audio and image processing, video watermarking, content-based multimedia indexing and  ...  This chapter presents a broad overview of Computational Intelligence (CI) techniques including Neural Network (NN), Particle Swarm Optimization (PSO), Evolutionary Algorithm (GA), Fuzzy Set (FS), and Rough  ...  They propose to employ Growing Neural Gas (GNG) networks and integrate multiple frame difference features to efficiently detect shot boundaries in the video.  ... 
doi:10.1007/978-3-540-76827-2_1 fatcat:7jl4ir66vvcl7g436ektwkqwpy

Video Bioinformatics Methods for Analyzing Cell Dynamics: A Survey [chapter]

Nirmalya Ghosh
2015 Computational Biology  
summarization-for enhanced data mining and video bioinformatics.  ...  quantification at different stages-from image preprocessing and cell segmentation to cellular feature extraction and selection, classification into different phenotypes, and exploration of hidden content-based  ...  frames. frames (one in each sub-shot) to minimize distortion [61] , and by minima in motion feature trend [133] .  ... 
doi:10.1007/978-3-319-23724-4_2 fatcat:wjsaagwnpbgmziy662tsmw6hv4

New Fault Injection Approach for Network on Chip

Tapas Patel
2013 IOSR Journal of Electronics and Communication Engineering  
Packet-based on-chip interconnection networks, or Network-on-Chips (NoCs) are progressively replacing global on-chip interconnections in Multi-processor System-on-Chips (MP-SoCs) thanks to better performances  ...  This paper presents an innovative test architecture based on a dual-processor system which is able to extensively test mesh based NoCs.  ...  the original input video sequence ] , [ j i O v into number of non-overlapping shots ] , [ j i S s using shot segmentation technique.  ... 
doi:10.9790/2834-0520106 fatcat:snatuoexlzd7bedziejtum6npe

Artificial Intelligence in the Creative Industries: A Review [article]

Nantheera Anantrasirichai, David Bull
2021 arXiv   pre-print
A brief background of AI, and specifically Machine Learning (ML) algorithms, is provided including Convolutional Neural Network (CNNs), Generative Adversarial Networks (GANs), Recurrent Neural Networks  ...  The potential of AI (or its developers) to win awards for its original creations in competition with human creatives is also limited, based on contemporary technologies.  ...  More recently, generative models have been configured based on an LSTM neural network to generate music .  ... 
arXiv:2007.12391v5 fatcat:mn2xqeylyrbabbu5zwln3admtm

Artificial intelligence in the creative industries: a review

Nantheera Anantrasirichai, David Bull
2021 Artificial Intelligence Review  
A brief background of AI, and specifically machine learning (ML) algorithms, is provided including convolutional neural networks (CNNs), generative adversarial networks (GANs), recurrent neural networks  ...  The potential of AI (or its developers) to win awards for its original creations in competition with human creatives is also limited, based on contemporary technologies.  ...  In this work, the AI-based system performs shot framing (wide, mid and close-up shots), sequencing, and shot selection automatically (Wright et al. 2020) .  ... 
doi:10.1007/s10462-021-10039-7 fatcat:tcctdi7vprfx7mlujvqmpiy3ru

Image Analysis and Computer Vision: 1996

Azriel Rosenfeld
1997 Computer Vision and Image Understanding  
Marsh, A hierarchical neural network for human face detection, PR 29, 1996, 781-787. 278. Y. Dai and Y.  ...  Manolakos, Hierarchical neural network for multiresolution image analysis, ICIP A, 261-264. 831. V. Caselles, B. Coll, and J.M.  ... 
doi:10.1006/cviu.1997.0602 fatcat:h4bc2zwjbjhvvjei6bl4h4pfvy

Image Analysis and Computer Vision: 1993

A Rosenfeld
1994 Computer Vision and Image Understanding  
Marsh, A hierarchical neural network for human face detection, PR 29, 1996, 781-787. 278. Y. Dai and Y.  ...  Manolakos, Hierarchical neural network for multiresolution image analysis, ICIP A, 261-264. 831. V. Caselles, B. Coll, and J.M.  ... 
doi:10.1006/cviu.1994.1030 fatcat:xwof2hfiuzfwvkfnamnahk4fvi

Image analysis and computer vision: 1991

Azriel Rosenfeld
1992 CVGIP: Image Understanding  
Marsh, A hierarchical neural network for human face detection, PR 29, 1996, 781-787. 278. Y. Dai and Y.  ...  Manolakos, Hierarchical neural network for multiresolution image analysis, ICIP A, 261-264. 831. V. Caselles, B. Coll, and J.M.  ... 
doi:10.1016/1049-9660(92)90032-x fatcat:hzeumdeaa5bh7jxo7vtfvexj4i

Image analysis and computer vision: 1988

Azriel Rosenfeld
1989 Computer Vision Graphics and Image Processing  
Marsh, A hierarchical neural network for human face detection, PR 29, 1996, 781-787. 278. Y. Dai and Y.  ...  Manolakos, Hierarchical neural network for multiresolution image analysis, ICIP A, 261-264. 831. V. Caselles, B. Coll, and J.M.  ... 
doi:10.1016/0734-189x(89)90169-2 fatcat:k5bqqodhxrbphojemwwtkyr34a

Image analysis and computer vision: 1990

Azriel Rosenfeld
1991 CVGIP: Image Understanding  
Marsh, A hierarchical neural network for human face detection, PR 29, 1996, 781-787. 278. Y. Dai and Y.  ...  Manolakos, Hierarchical neural network for multiresolution image analysis, ICIP A, 261-264. 831. V. Caselles, B. Coll, and J.M.  ... 
doi:10.1016/1049-9660(91)90020-p fatcat:uc5dui6drfei5d2jcrmbycenda

Image analysis and computer vision: 1987

Azriel Rosenfeld
1988 Computer Vision Graphics and Image Processing  
Marsh, A hierarchical neural network for human face detection, PR 29, 1996, 781-787. 278. Y. Dai and Y.  ...  Manolakos, Hierarchical neural network for multiresolution image analysis, ICIP A, 261-264. 831. V. Caselles, B. Coll, and J.M.  ... 
doi:10.1016/0734-189x(88)90166-1 fatcat:p2qqg5n3jffx7lxhwerkonae2y

Image Analysis and Computer Vision: 1999

Azriel Rosenfeld
2000 Computer Vision and Image Understanding  
Marsh, A hierarchical neural network for human face detection, PR 29, 1996, 781-787. 278. Y. Dai and Y.  ...  Manolakos, Hierarchical neural network for multiresolution image analysis, ICIP A, 261-264. 831. V. Caselles, B. Coll, and J.M.  ... 
doi:10.1006/cviu.2000.0835 fatcat:2mxfomcr4fdgxkaxqzbvpghtea

Image Analysis and Computer Vision: 1992

A. Rosenfeld
1993 CVGIP: Image Understanding  
Marsh, A hierarchical neural network for human face detection, PR 29, 1996, 781-787. 278. Y. Dai and Y.  ...  Manolakos, Hierarchical neural network for multiresolution image analysis, ICIP A, 261-264. 831. V. Caselles, B. Coll, and J.M.  ... 
doi:10.1006/ciun.1993.1033 fatcat:w46lghn65vbjhe2sm7pqfsbjxa

Image analysis and computer vision: 1989

Azriel Rosenfeld
1990 Computer Vision Graphics and Image Processing  
Marsh, A hierarchical neural network for human face detection, PR 29, 1996, 781-787. 278. Y. Dai and Y.  ...  Manolakos, Hierarchical neural network for multiresolution image analysis, ICIP A, 261-264. 831. V. Caselles, B. Coll, and J.M.  ... 
doi:10.1016/0734-189x(90)90041-s fatcat:kbokji22xfg2pbacwvjli55nwy
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