Concept Bank Driven Semantic Video Retrieval Model

Advances in Automation, Signal Processing, Instrumentation, and Control - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-15-8221-9_143 ◽

2021 ◽

pp. 1533-1542

Author(s):

A. Sasithradevi ◽

S. Mohamed Mansoor Roomi ◽

M. Bala Kannan ◽

J. Jebas Immanuel ◽

J. Gnana VaruvelRaja

Keyword(s):

Video Retrieval ◽

Retrieval Model

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Video retrieval model based on multimodal information fusion

Journal of Computer Applications ◽

10.3724/sp.j.1087.2008.00199 ◽

2008 ◽

Vol 28 (1) ◽

pp. 199-201 ◽

Author(s):

Jing ZHANG

Keyword(s):

Information Fusion ◽

Video Retrieval ◽

Retrieval Model ◽

Model Based ◽

Multimodal Information Fusion ◽

Multimodal Information

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Learning a Multi-Concept Video Retrieval Model with Multiple Latent Variables

ACM Transactions on Multimedia Computing Communications and Applications ◽

10.1145/3176647 ◽

2018 ◽

Vol 14 (2) ◽

pp. 1-21 ◽

Author(s):

Amir Mazaheri ◽

Boqing Gong ◽

Mubarak Shah

Keyword(s):

Latent Variables ◽

Video Retrieval ◽

Retrieval Model

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A discrete direct retrieval model for image and video retrieval

Proceedings of the 2008 international conference on Content-based image and video retrieval - CIVR '08 ◽

10.1145/1386352.1386407 ◽

2008 ◽

Author(s):

Shaolei Feng ◽

R. Manmatha

Keyword(s):

Video Retrieval ◽

Retrieval Model

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Concept-based video retrieval model based on the combination of semantic similarity measures

2013 13th International Conference on Intellient Systems Design and Applications ◽

10.1109/isda.2013.6920709 ◽

2013 ◽

Author(s):

Sara Memar ◽

Lilly Suriani Affendey ◽

Norwati Mustapha ◽

Mohamamdreza Ektefa

Keyword(s):

Semantic Similarity ◽

Video Retrieval ◽

Similarity Measures ◽

Retrieval Model ◽

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Learning a Multi-concept Video Retrieval Model with Multiple Latent Variables

2016 IEEE International Symposium on Multimedia (ISM) ◽

10.1109/ism.2016.0132 ◽

2016 ◽

Author(s):

Amir Mazaheri ◽

Boqing Gong ◽

Mubarak Shah

Keyword(s):

Latent Variables ◽

Video Retrieval ◽

Retrieval Model

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BOF Image/Video Retrieval Model with Global Feature

Lecture Notes in Electrical Engineering - Advanced Graphic Communications and Media Technologies ◽

10.1007/978-981-10-3530-2_30 ◽

2017 ◽

pp. 241-248

Author(s):

Mingzhu Zhang ◽

Kaiyang Liao ◽

Congjun Cao ◽

Fan Zhao ◽

Yuanlin Zheng

Keyword(s):

Video Retrieval ◽

Global Feature ◽

Retrieval Model

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A concept-based video retrieval model with spatio-temporal fuzzy triples

Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239) ◽

10.1109/tencon.2001.949628 ◽

2002 ◽

Author(s):

Seon-Ho Jeong ◽

Jae-Hun Choi ◽

Jae-Dong Yang

Keyword(s):

Video Retrieval ◽

Retrieval Model ◽

Spatio Temporal

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Veridical memory in category-based spatial distortions: A retrieval model

PsycEXTRA Dataset ◽

10.1037/e527342012-420 ◽

2007 ◽

Author(s):

Cristina Sampaio ◽

Ranxiao Frances Wang

Keyword(s):

Retrieval Model

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A Video Retrieval System with Orthogonal Polynomials Model based Shot Detection, Key Frame Selection and Color Feature Extraction

Journal of Research on the Lepidoptera ◽

10.36872/lepi/v51i2/301112 ◽

2020 ◽

Vol 51 (2) ◽

pp. 453-479

Author(s):

BRAVEEN M.

Keyword(s):

Feature Extraction ◽

Orthogonal Polynomials ◽

Retrieval System ◽

Video Retrieval ◽

Color Feature ◽

Frame Selection ◽

Key Frame ◽

Model Based ◽

Shot Detection ◽

Key Frame Selection

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XML document information retrieval model based on four-layered Bayesian network

Journal of Computer Applications ◽

10.3724/sp.j.1087.2009.02791 ◽

2009 ◽

Vol 29 (10) ◽

pp. 2791-2795

Author(s):

Xiao-long ZHANG ◽

Xing-chen HENG

Keyword(s):

Information Retrieval ◽

Bayesian Network ◽

Retrieval Model ◽

Model Based ◽

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