4.2 Article

A Study on the Optimization Simulation of Big Data Video Image Keyframes in Motion Models

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

A combined multiple action recognition and summarization for surveillance video sequences

Omar Elharrouss et al.

Summary: This paper proposes an effective approach to multiple human action detection, recognition, and summarization, extracting human bodies' silhouette and generating specific sequences for each person using motion detection and tracking. The approach divides each sequence into shots representing homogeneous actions based on similarity between frames, and recognizes actions using HOG and TDMap, as well as a CNN model.

APPLIED INTELLIGENCE (2021)

Article Computer Science, Artificial Intelligence

An intelligent optimization method of motion management system based on BP neural network

Tuojian Li et al.

Summary: The use of intelligent recognition technology in sports management systems can improve the quality of athletes' training and competition. This study conducted experiments and analysis based on neural networks, designed a human pose recognition algorithm, and compared the performance with other algorithms.

NEURAL COMPUTING & APPLICATIONS (2021)

Article Computer Science, Information Systems

TVD-MRDL: traffic violation detection system using MapReduce-based deep learning for large-scale data

Shiva Asadianfam et al.

Summary: Maintaining fluid and safe traffic is a major challenge for human societies, and using Hadoop to process large-scale data can effectively address traffic issues.

MULTIMEDIA TOOLS AND APPLICATIONS (2021)

Article

Video Summarization for Multiple Sports Using Deep Learning

Chakradhar Guntuboina et al.

Electronic Letters on Computer Vision and Image Analysis (2021)

Article Computer Science, Hardware & Architecture

Unveiling Unexpected Training Data in Internet Video

Tali Dekel et al.

Summary: Data is one of the most crucial components in training machine-learning models. The amount, cleanliness, diversity, and real-world reflection of the data can all greatly impact the performance of the trained model. Therefore, collecting new datasets and finding reliable sources of supervision are essential steps in model training.

COMMUNICATIONS OF THE ACM (2021)

Article Engineering, Electrical & Electronic

An Adaptive Video Acquisition Scheme for Object Tracking and Its Performance Optimization

Srutarshi Banerjee et al.

Summary: The proposed novel adaptive host-chip modular architecture optimizes video acquisition for a given bit rate by guiding chip compression under the direction of a high computational power host. The system is flexible and versatile in re-orienting objective tasks for optimal performance.

IEEE SENSORS JOURNAL (2021)

Article Agricultural Engineering

Multi-target pig tracking algorithm based on joint probability data association and particle filter

Longqing Sun et al.

Summary: A pig detection and tracking technology based on machine vision was proposed to monitor the behavior of pigs effectively and address noise issues caused by occlusion and target interaction. The multi-target tracking algorithm uses color feature, target centroid, and the minimum circumscribed rectangle length-width ratio as features to accurately track pigs in videos, coping with partial occlusions and temporary losses.

INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING (2021)

Article Computer Science, Theory & Methods

A distributed Content-Based Video Retrieval system for large datasets

El Mehdi Saoudi et al.

Summary: With the growth in video data, efficient video indexing and retrieval methods are critical. This article proposes a CBVR system using machine learning techniques for key frame extraction and vector motion-based signatures for describing visual content, showing effectiveness in accuracy and processing time.

JOURNAL OF BIG DATA (2021)

Article Computer Science, Artificial Intelligence

Target tracking and recognition of a moving video image based on convolution feature selection

Jun Wei Yang

Summary: The proposed method uses convolution feature selection and online tracker weight updating to improve the accuracy and speed of moving video image target tracking and recognition.

INTERNATIONAL JOURNAL OF BIOMETRICS (2021)

Article Computer Science, Information Systems

Foreground detection using motion histogram threshold algorithm in high-resolution large datasets

Fakhri Alam Khan et al.

Summary: The proposed algorithm achieves better accuracy in foreground detection by analyzing motion histograms to generate threshold values.

MULTIMEDIA SYSTEMS (2021)

Article Computer Science, Information Systems

Detection and tracking of human track and field motion targets based on deep learning

Yafei Zhang et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2020)

Article Computer Science, Artificial Intelligence

Content-Aware Summarization of Broadcast Sports Videos: An Audio-Visual Feature Extraction Approach

Abdullah Aman Khan et al.

NEURAL PROCESSING LETTERS (2020)

Article Mathematical & Computational Biology

Medical Sports Rehabilitation Deep Learning System of Sports Injury Based on MRI Image Analysis

Hongbing Ba

JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS (2020)

Article Computer Science, Information Systems

Techniques and applications for soccer video analysis: A survey

Carlos Cuevas et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2020)

Article Engineering, Electrical & Electronic

Image Segmentation Based on Velocity Feature Vector for Moving Target Extraction

Yunfei Hu

IEEE SENSORS JOURNAL (2020)

Article Computer Science, Information Systems

Vision-based human activity recognition: a survey

Djamila Romaissa Beddiar et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2020)

Article Computer Science, Information Systems

The Shift to Socio-Organizational Drivers of Business Intelligence and Analytics Acceptance

Tanja Grubljesic et al.

JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING (2019)