International Journal of Pattern Recognition and Artificial Intelligence最新文献

{"title":"Pelican Whale Optimization Enabled Deep Learning Framework for Video Steganography Using Arnold Transform-Based Embedding","authors":"G Suresh, G Manikandan, G Bhuvaneswari, P Shanthakumar","doi":"10.1142/s0218001423590267","DOIUrl":"https://doi.org/10.1142/s0218001423590267","url":null,"abstract":"<p>Steganography refers to hiding a secret message from various sources, such as images, videos, audio and so on. The advantage of steganography is to avoid data hacking in transmission medium during the transmission of information sources. Video steganography is superior to image steganography since the videos can hide a substantial quantity of secret messages more than the image. Hence, this research introduced the video stereography technique, Arnold Transform with SqueezeNet-based Pelican Whale Optimization Algorithm (AT<span><math altimg=\"eq-00001.gif\" display=\"inline\" overflow=\"scroll\"><mo stretchy=\"false\">+</mo></math></span><span></span>SqueezeNet_PWOA), for concealing the secret image on the video. To hide the secret image on the video, the proposed method follows three steps: key frame and feature extraction, pixel prediction and embedding. The extraction of the key frame process is carried out by the Structural Similarity Index Measure (SSIM), and then the neighborhood features and convolutional neural network (CNN) features are extracted from the frame to improve the robustness of the embedding process. Moreover, the pixel prediction is completed by the SqueezeNet model, wherein the learning factors are tuned by the PWOA. In addition, the embedding process is completed by applying the Arnold transform on the predicted pixel, and the transformed regions are combined with the secret image using the embedding function. Likewise, the extraction process extracts the secret image from the embedded video by substituting the predicted pixel and Arnold transform on the embedded video. The proposed method is used to hide chunks of secret data in the form of video sequences and it improves the performance. The Arnold transform used in this work provides security by encrypting the data. The use of SqueezeNet makes the proposed model a simple design and this reduces the computational time. Thus, the AT<span><math altimg=\"eq-00002.gif\" display=\"inline\" overflow=\"scroll\"><mo stretchy=\"false\">+</mo></math></span><span></span>SqeezeNet_PWOA attained better correlation coefficient (CC), peak signal-to-noise ratio (PSNR) and mean square error (MSE) of 0.908, 48.66 and 0.001 dB with the Gaussian noise.</p>","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"75 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140127597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neural Network-Based Algorithm for Identification of Recaptured Images","authors":"Changming Liu, Yanjun Sun, Lin Deng, Yan Sun","doi":"10.1142/s0218001423500362","DOIUrl":"https://doi.org/10.1142/s0218001423500362","url":null,"abstract":"<p>With the improvement of digital image display technology, the “secondary imaging” caused by digital cameras is also gradually popularized, and the quality of the recaptured image formed by this imaging is also getting higher and higher, and this kind of high-quality fake image has caused great threat to digital images security. We propose a neural network-based recaptured image identification algorithm and use the difference between two types of images to build the identification algorithm in the frequency domain. The algorithm uses filtering to obtain the feature images which are the high-frequency and low-frequency filtering images, in order to further distinguish the image differences, the direction of the filtered image obtained from high-frequency images, each direction of the filtered image contains high-frequency information at different angles, and the low-frequency image is downsampled. At the same time, the low-frequency image is downsampled to obtain a multi-scale filtered image. The algorithm extracts the features from previous images as the feature values for classification, and finally uses neural networks for classification to obtain the classification results, and these prove that the algorithm presented is able to differentiate the recaptured images effectively in this paper.</p>","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"143 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140152459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transformer with a Parallel Decoder for Image Captioning","authors":"Peilang Wei, Xu Liu, Jun Luo, Huayan Pu, Shouhong Yang, Zhuang Xu, Jason Wang, Hong Yue, Cheng Ji, Mingliang Zhou","doi":"10.1142/s0218001423540290","DOIUrl":"https://doi.org/10.1142/s0218001423540290","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"125 6","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138998378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"OIPNet: Multimodal network with Orthogonal Information Processing for Semantic Segmentation in Indoor Scenes","authors":"Mengting Ye, Kaili Yu, Zhenxue Chen, Yixin Guo, Longcheng Liu","doi":"10.1142/s0218001423540277","DOIUrl":"https://doi.org/10.1142/s0218001423540277","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"106 9","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138999636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Medical Image Segmentation using Grey Wolf Based U-Net with Bi-Directional Convolutional LSTM","authors":"G. Tamilmani, Ch. Phaneendra Varma, V. Brindha Devi, G. Ramesh Babu","doi":"10.1142/s0218001423540253","DOIUrl":"https://doi.org/10.1142/s0218001423540253","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"175 ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139010687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of deep learning in social network public opinion sentiment","authors":"Lei Wu","doi":"10.1142/s0218001423520146","DOIUrl":"https://doi.org/10.1142/s0218001423520146","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"71 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139011051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Person Identification System Using Periocular Biometrics Based On Hybrid Optimal Dense Capsule Network","authors":"Deepali R. Bhamare, Pravin S. Patil","doi":"10.1142/s0218001423560268","DOIUrl":"https://doi.org/10.1142/s0218001423560268","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"10 6","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139011466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Saliency and Depth-aware Full Reference 360-degree Image Quality Assessment","authors":"Xuekai Wei, Qunyue Huang, Bin Fang, Ouyang Lei, Weizhi Xian, Jun Luo, Huayan Pu, Xueyong Xu, Chang Lu, Hao Nan, Xu Liu, Yachao Li, Mingliang Zhou","doi":"10.1142/s0218001423510229","DOIUrl":"https://doi.org/10.1142/s0218001423510229","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"48 4","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139010899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Scale Enhancement Network for Object Detection in Aerial Images","authors":"Shihan Mao, Zhi Wang, Qineng He, Zhangqing Zhu","doi":"10.1142/s0218001423540241","DOIUrl":"https://doi.org/10.1142/s0218001423540241","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"254 16","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139011519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"All-day Object Detection and Recognition for Blind Zones of Vehicles using Deep Learning","authors":"Tsorng-Lin Chia, Pei-June Liu, Ping-Sheng Huang","doi":"10.1142/s0218001423500350","DOIUrl":"https://doi.org/10.1142/s0218001423500350","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"117 ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139011230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}