RETRACTED ARTICLE: Research on professional talent training technology based on multimedia remote image analysis

Abstract

In distance vocational education, teachers need to analyze according to the expression status of different students, so as to make corresponding training in training to improve training efficiency. At present, there are certain problems in the remote expression recognition of professional personnel. Based on this, this study analyzes the facial expression image and uses the wavelet transform algorithm to process the face image in complex lighting environment, thus improving the online transmission effect of the image. After that, this study uses orthogonal projection algorithm for face recognition. In addition, this paper enhances LBP features by dividing the original image into four images by wavelet decomposition. At the same time, in order to prevent the over-characteristics from reducing the classification accuracy and real-time calculation, this paper uses the PCA principal component analysis method to select the feature subset with the largest discrimination. Finally, through SVM, this article has done experiments on JAFFE facial expression database. The experimental results show that the proposed method has a significant improvement in the correct rate compared with the traditional LBP feature classification method and can improve the theoretical reference for subsequent related research.

Prediction and Analysis of the Quality of Multimedia Professional Talents Combining Multiobjective Data Fuzzy Evolution

“…In the design method of the prediction and analysis system for the quality of multimedia professional talents based on the multiobjective data fuzzy evolutionary algorithm, the weights of the prediction and analysis factors for the quality of multimedia professional talents are calculated through the analytic hierarchy process. e various prediction and analysis factors are divided into multiple levels based on the top-down principle, and the prediction and analysis indexes are classified according to different levels and various systems in combination with the attributes of the prediction and analysis objects [14,15]. Various indexes present in the same level are compared, and the standard quantification processing is carried out on the comparison results based on the corresponding importance levels to obtain the weights corresponding to the prediction and analysis indexes for the quality of multimedia professional talents.…”

A Brief Study of The Use of Pattern Recognition in Online Learning: Recommendation for Assessing Teaching Skills Automatically Online Based

“…Academic emotion evaluation in online learning for boosting learner wellbeing [67]. Emotion recognition can be used for providing a personalized support as feedback to learners [54]- [57], [63], [64]; for enhancing efficient training [58]; for enhancing outcome learning and instruction quality [59]; for identifying learner comprehension [60]; for enhancing quality of teaching [65]; for extracting information from comment in online course learning [66]; for providing adaptable elearning [68]; for presenting adaptive course content [69]; for supporting teacher training [70]. FER2013, CK+ and JAFFE dataset consist of six basic emotions (Angry, Disgust, Fear, Happy, Sad, Surprise), and Neutral.…”

Evaluation of Talent Training Model Taking into Account the Knowledge Recognition Algorithm of Multiple Constraint Models

“…rough multi-party research, consultation and summary, in terms of professional talent training, the goal is to cognitive learning-theoretical teaching-classroom traininginternship and employment-entrepreneurial innovation, etc. Which is treated as the process chain used for the basic issues of multimedia professional construction and teaching reform Internships, the integration of courses is valued, and the close integration of course content, theory and actual traditional technology, high-tech in professional education is achieved [14]. A talent training model that combines industry, teaching, research, and innovation is realized.…”