A new steganography algorithm based on video sparse representation

Jalali, Arash; Farsi, Hassan

doi:10.1007/s11042-019-08233-5

Cited by 17 publications

(6 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e researchers who hold the former point of view hold that the disturbance in the dynamic system is always changing and the disturbance caused by the disturbance causes the system to be in an unbalanced state. At present, there is no good definition of disturbance in sports competition, but this disturbance breaks the original equilibrium state of the system [47]. In squash matches, for example, these disturbances can lead to an opponent's error or a favourable shooting position.…”

Section: Analysis Of the Rate Of Gain And Loss Of Service Wheelmentioning

confidence: 99%

Analysis of Characteristics of Tennis Singles Matches Based on 5G and Data Mining Technology

Qin-sheng

et al. 2021

Security and Communication Networks

View full text Add to dashboard Cite

The level of technical and tactical decision-making in a tennis game has a very important impact on the outcome of the game. How to discover the characteristics and rules of the game from a large amount of technical and tactical data, how to overcome the shortcomings of traditional statistical methods, and how to provide a scientific basis for correct decision-making are a top priority. Based on 5G and association analysis data mining theory, we established a data mining model for tennis technical offensive tactics and association rules and conducted specific case studies. It can calculate the maximization and distribution rate of certain technologies, also distinguish between the athlete’s gain and loss rate and the spatial position on the track, and use artificial statistical methods to cause errors and subjective participation. This solution provides objective and scientific decision support for this problem and is used in the decision-making of the landing point in tennis match technology and tactics. Experimental simulation shows that the data mining technology analysis system used for regional tennis matches is more concise, efficient, and accurate than traditional movie analysis methods.

show abstract

Section: Analysis Of the Rate Of Gain And Loss Of Service Wheelmentioning

confidence: 99%

Analysis of Characteristics of Tennis Singles Matches Based on 5G and Data Mining Technology

Qin-sheng

et al. 2021

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…Usually, the face images after the face detection step are not directly used for expression and emotion recognition due to the problems of lighting, face angle, face pose, different image size, etc. Before performing steps such as expression recognition, the detected images usually need to be preprocessed [24]. e main purpose of image preprocessing is to improve the image quality and thus the accuracy of the algorithm.…”

Section: Design Of Emotion Detection System For Preschoolmentioning

confidence: 99%

Emotion Monitoring for Preschool Children Based on Face Recognition and Emotion Recognition Algorithms

2021

Complexity

View full text Add to dashboard Cite

In this paper, we study the face recognition and emotion recognition algorithms to monitor the emotions of preschool children. For previous emotion recognition focusing on faces, we propose to obtain more comprehensive information from faces, gestures, and contexts. Using the deep learning approach, we design a more lightweight network structure to reduce the number of parameters and save computational resources. There are not only innovations in applications, but also algorithmic enhancements. And face annotation is performed on the dataset, while a hierarchical sampling method is designed to alleviate the data imbalance phenomenon that exists in the dataset. A new feature descriptor, called “oriented gradient histogram from three orthogonal planes,” is proposed to characterize facial appearance variations. A new efficient geometric feature is also proposed to capture facial contour variations, and the role of audio methods in emotion recognition is explored. Multifeature fusion can be used to optimally combine different features. The experimental results show that the method is very effective compared to other recent methods in dealing with facial expression recognition problems about videos in both laboratory-controlled environments and outdoor environments. The method performed experiments on expression detection in a facial expression database. The experimental results are compared with data from previous studies and demonstrate the effectiveness of the proposed new method.

show abstract

“…Many foreign well-known universities and research institutions have conducted continuous and in-depth research on motion target tracking technology [8]. So far, great progress has been made in the field of motion target tracking technology.…”

Section: Related Research Workmentioning

confidence: 99%

Machine Learning‐Based Multitarget Tracking of Motion in Sports Video

Zhang¹,

Yang

2021

Complexity

View full text Add to dashboard Cite

In this paper, we track the motion of multiple targets in sports videos by a machine learning algorithm and study its tracking technique in depth. In terms of moving target detection, the traditional detection algorithms are analysed theoretically as well as implemented algorithmically, based on which a fusion algorithm of four interframe difference method and background averaging method is proposed for the shortcomings of interframe difference method and background difference method. The fusion algorithm uses the learning rate to update the background in real time and combines morphological processing to correct the foreground, which can effectively cope with the slow change of the background. According to the requirements of real time, accuracy, and occupying less video memory space in intelligent video surveillance systems, this paper improves the streamlined version of the algorithm. The experimental results show that the improved multitarget tracking algorithm effectively improves the Kalman filter-based algorithm to meet the real-time and accuracy requirements in intelligent video surveillance scenarios.

show abstract

A new steganography algorithm based on video sparse representation

Cited by 17 publications

References 39 publications

Analysis of Characteristics of Tennis Singles Matches Based on 5G and Data Mining Technology

Analysis of Characteristics of Tennis Singles Matches Based on 5G and Data Mining Technology

Emotion Monitoring for Preschool Children Based on Face Recognition and Emotion Recognition Algorithms

Machine Learning‐Based Multitarget Tracking of Motion in Sports Video

Contact Info

Product

Resources

About