A systematic review on content-based video retrieval

N Spolaôr, HD Lee, WSR Takaki, LA Ensina… - … Applications of Artificial …, 2020 - Elsevier
Content-based video retrieval and indexing have been associated with intelligent methods
in many applications such as education, medicine and agriculture. However, an extensive …

Content based video retrieval system using two stream convolutional neural network

S Sowmyayani, PAJ Rani - Multimedia Tools and Applications, 2023 - Springer
Nowadays capturing video through mobile phones, digital cameras and uploading it in
social media is a trend. These videos do not have semantic tags. Searching these kinds of …

A new bi-level deep human action representation structure based on the sequence of sub-actions

F Akhlaghian Tab, M Ramezani, H Afshoon… - Neural Computing and …, 2024 - Springer
Human action recognition is applicable in different domains. Previously proposed methods
cannot appropriately consider the sequence of sub-actions. Herein, we propose a …

Shape-based 3D human action retrieval using triplet network

H Wang, Y Wei, B Ding, J Song, Z Wang - Multimedia Tools and …, 2024 - Springer
Human action retrieval is a challenging task in computer vision and computer graphics.
Existing action retrieval works are mainly for the human representation of skeleton …

Two person interaction recognition based on a dual-coded modified metacognitive (DCMMC) extreme learning machine

S Nikzad, A Ebrahimi - Turkish Journal of Electrical …, 2022 - journals.tubitak.gov.tr
Human action recognition has been an active research area for over three decades.
However, state-of-the-art proposed algorithms are still far from developing error-free and …

An Efficient Dynamic Regulated Fuzzy Neural Network for Human Motion Retrieval and Analysis

X Huang, Y Zhu, S Wang - Symmetry, 2021 - mdpi.com
Human motion retrieval and analysis is a useful means of activity recognition to 3D human
bodies. An efficient method is proposed to estimate human motion by using symmetric joint …

Human motion data retrieval based on staged dynamic time deformation optimization algorithm

H Bao, X Yao - Complexity, 2020 - Wiley Online Library
In recent years, with the rapid development of computer storage capabilities and network
transmission capabilities, users can easily share their own video and image information on …

A two-stream action recognition method based on complementary traditional and deep features

A Moradyani, M Ramezani… - Journal of Machine …, 2023 - jmvip.sinaweb.net
Today, human action recognition as an important research field is used in different
applications and many computer-vision researches have focused on this area to improve …

A Deep Human Action Representation For Retrieval Application

M Ramezani, F Akhlaghian Tab… - … and Simulation in …, 2022 - mseee.semnan.ac.ir
Human action retrieval as a challenging research area has wide-spreading applications in
surveillance, search engines, and human-computer interactions. Current methods seek to …

Deephums: Deep human motion signature for 3D skeletal sequences

N Battan, A Venkat, A Sharma - … , New Zealand, November 26–29, 2019 …, 2020 - Springer
Abstract 3D Human Motion Indexing and Retrieval is an interesting problem due to the rise
of several data-driven applications aimed at analyzing and/or re-utilizing 3D human skeletal …