Results 21 to 30 of about 36,977,793 (187)

Transfer learning data adaptation using conflation of low‐level textural features

Engineering Reports, Volume 5, Issue 5, May 2023., 2023
Adapting the target dataset for a pre‐trained model is still challenging due to poor source knowledge transfer in the target domain. This paper introduces the conflation of low‐level textural features in the source and target domains of the pretrained model allowing the selection of a higher quality target dataset for improved pre‐trained model ...
Raphael Ngigi Wanjiku, Lawrence Nderu, Michael Kimwele   +2 more
wiley   +1 more source

Applying Intuitionistic Fuzzy Sets to Improve Fuzzy Content-based Image Retrieval Systems [PDF]

Journal of Artificial Intelligence and Data Mining
Visual features extracted from images in content-based image retrieval systems are inherently ambiguous. Consequently, applying fuzzy sets for image indexing in image retrieval systems has improved efficiency. In this article, the intuitionistic fuzzy sets
Monireh Azimi Hemat, Ezat Valipour, Laya Ali Ahmadipoor   +2 more
doaj   +1 more source

Heterogeneous Hadoop Cluster‐Based Image Processing Workload Distribution Framework between CPU and GPU

Scientific Programming, Volume 2023, Issue 1, 2023., 2023
Due to the rapid development of image data and the necessity to analyze it to extract meaningful information, heterogeneous systems have gained prominence. One of the most critical aspects of distributed systems is load balancing. When it comes to the distribution of workload in a balanced manner in a cluster, some heterogeneous systems are used for ...
Najia Naz, Islam Zada, Abdul Haseeb Malik, Muhammad Nadeem, Sikandar Ali, Mian Ahmad Jan   +5 more
wiley   +1 more source

Analysis on the Multimedia Information Retrieval Algorithm Based on Enterprise Correlation Financial Analysis under the Background of Big Data

Advances in Multimedia, Volume 2023, Issue 1, 2023., 2023
At present, based on the background of the big data era, the operation of enterprises has a great impact, and relevance is a principle set to meet the needs of enterprise operation and management. In today’s digital and network era, multimedia has become the main part of the Internet information transmission, and multidisciplinary art and science ...
Jun Yan, Hui Liu, Ashwani Kumar
wiley   +1 more source

The application of user log for online business environment using content-based Image retrieval system [PDF]

, 2006
Over the past few years, inter-query learning has gained much attention in the research and development of content-based image retrieval (CBIR) systems.
Li, J.B., Fung, C.C., Chun Che Fung, Chung, K.P., Jia Bin Li, Kien-ping Chung, Sandy Chong, Chong, S.   +7 more
core   +1 more source

Generic Graphical User Interface for CBIR Framework

Applied Computer Systems, 2023
Content-based image retrieval system (CBIR) is a well-known and widely used system for image retrieval. Most of the current CBIR systems are either command-based or specific to applications.
Ali Layak
doaj   +1 more source

Color Image Retrieval Method Using Low Dimensional Salient Visual Feature Descriptors for IoT Applications

Computational Intelligence and Neuroscience, Volume 2023, Issue 1, 2023., 2023
Digital data are rising fast as Internet technology advances through many sources, such as smart phones, social networking sites, IoT, and other communication channels. Therefore, successfully storing, searching, and retrieving desired images from such large‐scale databases are critical.
Naushad Varish, Priyanka Singh, Prannoy Tugiti, Marella Hima Manikanta, Bhavana Yedlapalli, Abhishree Pappusetty, Hiren Kumar Thakkar, Gajendra Sharma, Yaxiang Fan   +8 more
wiley   +1 more source

Content based image retrieval using hybrid features and various distance metric

Journal of Electrical Systems and Information Technology, 2018
In last decade, large database of images have grown rapidly and will continue in future. Retrieval and querying of these image in efficient way is needed in order to access the visual content from large database.
Yogita Mistry, D.T. Ingole, M.D. Ingole
doaj   +1 more source

Content-Based Image Retrieval: A Survey on Local and Global Features Selection, Extraction, Representation, and Evaluation Parameters

IEEE Access, 2023
In the era of massive data production through the internet and social media, the volume of images generated is immense. Storing and retrieving relevant images efficiently pose significant challenges.
Divya Srivastava, S. Singh, B. Rajitha, Madhushi Verma, Manjit Kaur, Heung-No Lee   +5 more
semanticscholar   +1 more source

Privacy‐Preserving Image Retrieval Based on Disordered Local Histograms and Vision Transformer in Cloud Computing

International Journal of Intelligent Systems, Volume 2023, Issue 1, 2023., 2023
Frequent data breaches in the cloud environment have seriously affected cloud subscribers and providers. Privacy‐preserving image retrieval methods can improve the security of cloud image retrieval; however, existing methods have limited accuracy on dynamically updated image databases and mobile lightweight devices.
Zhangdong Wang, Jiaohua Qin, Xuyu Xiang, Yun Tan, Vasudevan Rajamohan   +4 more
wiley   +1 more source