{"title":"An implementation of searchable video player","authors":"Jae Moon Lee, In-Hwan Jung, Kitae Hwang","doi":"10.1504/ijcvr.2023.10053409","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.10053409","url":null,"abstract":"","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66729846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An optimised local feature compression using statistical and structural approach for face recognition","authors":"A. Divya, K. B. Raja, K.R. Venugopal","doi":"10.1504/ijcvr.2023.133134","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.133134","url":null,"abstract":"","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"40 1","pages":"469-496"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66729864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A systematic study of intelligent autism spectrum disorder detector","authors":"Indu Jamwal, Deepti Malhotra, Mehak Mengi","doi":"10.1504/ijcvr.2023.129435","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.129435","url":null,"abstract":"Autism spectrum disorder also known as ASD is a complex developmental condition particularly related to the nervous system that affects people's communication, social behaviour, and underlying social knowledge. The problem of autism is not common to a particular age group but it has been ascending rapidly among all age groups. Earlier prediction of this developmental disorder will grandly help in sustentation of the subject's physical as well as mental soundness. With more advancement in technology, early detection of certain neurological disorders now becomes reality. Mostly machine-learning methods are used for the analysis of ASD. This research paper presents the systematic review of existing AI models for ASD detection based on screening methods, eye movements, and MRI data, and based on limitations of existing studies, the authors have proposed an ASD_esfMRI for earlier detection of autism which can be implemented in future by using eye gaze data and MRI data collectively.","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135535019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An approach for speaker diarisation using whale-anti coronavirus optimisation integrated deep fuzzy clustering","authors":"Ramisetty Rajeswara Rao, K. Vijay Kumar","doi":"10.1504/ijcvr.2023.10059523","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.10059523","url":null,"abstract":"","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135910402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Texture-based approach to classification meningioma using pathology images","authors":"Yasmeen O. Sayaheen","doi":"10.1504/ijcvr.2023.134318","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.134318","url":null,"abstract":"Manual analysis and judgement system suffered by two boundaries: first, studying histological slides by manual human's effort is time overhead and the human specialists are not permanently obtainable. Secondly, a lot of work has been done to outline diagnostic standards for all tumour components. CAD is quickly developing owing to the obtainability of up-to-date computing procedures, fresh imaging tools, plus patient data for infection diagnosis. Decision making using computer-assisted can be used to enhance histopathologists by providing additional objective diagnostic and analytic parameters. Recently, tumour has become one of the diseases that affect human health the most. Brain is a central system for human bodies that control, organise and arrange regular habit tasks. This paper talks about meningiomas tumour, which is considered one of the popular brain tumours. Colour-based segmentation, is a morphological operation used to enhance the appearance of cells. Texture-based features (FOS, GLCM, GLRS, GLDS and NGTDM) are used to enhance CAD feature extraction process and two classifiers are used to improve decision making (SVM and KNN).","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135057540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A multi-modal image encoding and self-attention-based transformer framework with sentiment analysis for financial time series prediction","authors":"Dilip Kumar Sharma, R. Varshney","doi":"10.1504/ijcvr.2023.10057531","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.10057531","url":null,"abstract":"","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66729709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital image watermarking based on hybrid FRT-HD-DWT domain and flamingo search optimisation","authors":"P.J.R. Shalem Raju, K.V.D. Kiran, Pokkuluri Kiran Sree","doi":"10.1504/ijcvr.2023.134319","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.134319","url":null,"abstract":"The image watermarking topologies afford a promising solution in digital media copyright protection. However, it is essential to take into account the robustness of watermarking methods. Therefore, in this paper, a digital image watermarking technique based on finite ridgelet transform (FRT), discrete wavelet transform (DWT), and Hessenberg decomposition (HD) is proposed. The FRT and HD methods are hybridised with DWT to enhance the embedding capacity. Likewise, the embedding strength factor is also optimised through a flamingo search algorithm (FSA). After embedding the extraction process is carried out with deep belief neural (DBN) network. The experiments are conducted on four kinds of host images like Lena, house, baboon, and Barbara in MATLAB platform. The results are compared with different models in terms of peak signal to noise ratio (PSNR), normalisation coefficient (NC), and structural similarity index measure (SSIM) under various geometric attacks.","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135051924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}