Research on High Robust Multimedia Image Encryption Based on Gyrator Transform Domain Model

The encryption and privacy protection of multimedia image resources are of great value in the information age. The utilization of the gyrator transform domain model in multimedia image encryption can select parameters more accurately, so it has a wider scope of utilization and further ameliorates the stability of the whole system. On account of this, this paper first analyzes the concept and connotation of gyrator transform, then studies the image encryption algorithm on account of gyrator transform, and verifies the robustness of the gyrator transform algorithm under the influence of noise interference, shear attack, and other factors through the high robust multimedia image encryption and result analysis of gyrator transform.

Medical Multimedia Image Analysis of Scoliosis in Children Aged 3–7 Years Based on Adaptive Multiobjective Differential Evolution Algorithm

Scoliosis is mainly caused by the spinal column deviating from its centerline during the growth process. It usually occurs in children aged 3–7 years old. After a detailed analysis of the existing scoliosis detection methods, this paper compares and analyzes the advantages of using multimedia image processing technology to check scoliosis in children aged 3–7 years and uses an adaptive multiobjective differential evolution algorithm to perform scoliosis comprehensive testing. Finally, the experimental analysis shows that the adaptive multiobjective differential evolution algorithm is applied to scoliosis detection to analyze the characteristics of children's cervical spine curvature and the relationship between the cervical spine curvature and the scoliosis angle.

Attention Feature Network Extraction Combined with the Generation Algorithm of Multimedia Image Description

In view of the issue that the features of the images in the shallow layer cannot be fully utilized when the image description is generated and the target association of the image cannot be sufficiently obtained, a generation method for the description of the acquisition of attention images is put forward in this paper. The proportions of the features of images at various depths are autonomously assigned based on the content data of the language model, and the images thus generated are all pictures with image features with attention. In this way, the effect of description generation of images has been improved. After the testing of the database, the results indicate that the calculation method of the algorithm put forward in this paper is more accurate than the top-down multimedia image algorithm generated by a single attention.

Target Recognition and Trajectory Planning of Apple Harvesting Robot considering Color Multimedia Image Segmentation Algorithm

For the purpose of significantly reducing the processing time of the apple harvesting robot during the harvesting process, it is highly necessary to carry out the corresponding studies on the methods for rapid recognition and trajectory planning. Through the comprehensive application of information relevance, the image processing area can be reduced. For image recognition and trajectory planning, the related template matching algorithm for removing the mean value and normalization product can be adopted, and segmentation methods based on different threshold values can be used for the realization of the effect. Subsequently, the comparative experiments are properly carried out to verify the effectiveness of the method used.

An Enhanced Security Measure for Multimedia Images Using Hadoop Cluster

Information are generated over the internet for every second. These information are not fully secured. To increase the security of these information send over the internet there are two methods Cryptography and Steganography are combined to encrypt the data using RSA algorithm as well as to hide the data in multimedia image in Hadoop Cluster. Features of the resultant image such as color are extracted and stored separately in Hadoop cluster to enhance security. Then combining features of the Stenographic image for secret image retrieval, which has been then split into image and secret information. At last, decrypting the secret information, we retrieve the actual information. Application of this system in Hadoop will increase the speed of execution of the process.

Construct a Teaching System Combining Image Linguistics and Multimedia Technology

At present, the research on the theoretical system of multimedia image linguistics in my country is very limited. In order to further improve and develop the theoretical system of multimedia picture linguistics, this article extracts effective knowledge from the research results of educational technology, linguistics, psychology, and semiotics and establishes a teaching system based on image linguistics. Multimedia picture linguistics consists of three parts: structure, semantics, and pragmatics, corresponding to the artistic laws of multimedia pictures, the cognitive laws of multimedia pictures, and the humanization and naturalization of picture design. Therefore, the research in this article is an important part of establishing multimedia image linguistics. Starting from the research methods of multimedia technology and picture linguistics, this article introduces the theoretical framework and the relationship between the multimedia learning cognitive theory and Mayer’s multimedia learning cognitive theory and conducts in-depth discussion and demonstration. The thesis constructs a teaching system that combines picture linguistics and multimedia technology and makes it a language tool for developing and designing multimedia learning materials. Experiments have proved that the teaching system combining picture linguistics and multimedia technology proposed in this paper can provide a framework, ideas, and methods for the related research of multimedia picture linguistics and multimedia technology and make multimedia picture language a multimedia learning material design and development The language tools that can be followed can effectively improve the teaching effect under the background of information technology.