Results 11 to 20 of about 6,778 (208)

Novel CBIR system based on Ripplet Transform using interactive Neuro-Fuzzy technique [PDF]

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2012
Content Based Image Retrieval (CBIR) system is an emerging research area in effective digital data management paradigm. In this article, a novel CBIR system based on a new Multiscale Geometric Analysis (MGA)-tool, called Ripplet Transform Type-I (RT) is ...
Manish Chowdhury, Sudeb Das, Malay Kumar Kundu   +2 more
doaj   +5 more sources

Deep image retrieval using artificial neural network interpolation and indexing based on similarity measurement

CAAI Transactions on Intelligence Technology, 2022
In content‐based image retrieval (CBIR), primitive image signatures are critical because they represent the visual characteristics. Image signatures, which are algorithmically descriptive and accurately recognized visual components, are used to ...
Faiyaz Ahmad
doaj   +2 more sources

An Overview of Content-Based Image Retrieval Methods and Techniques

Iraqi Journal for Computer Science and Mathematics, 2023
With the development of Internet technology and the popularity of digital devices, Content-Based Image Retrieval (CBIR) has been quickly developed and applied in various fields related to computer vision and artificial intelligence.
M.H.Hadid, Qasim Mohammed Hussein, Z.T.Al-Qaysi , M.A.Ahmed , Mahmood M. Salih   +4 more
doaj   +1 more source

Content-based medical image retrieval by spatial matching of visual words

Journal of King Saud University: Computer and Information Sciences, 2022
Content-Based Image Retrieval (CBIR) systems have recently emerged as one of the most promising and best image retrieval paradigms. To pacify the semantic gap associated with CBIR systems, the Bag of Visual Words (BoVW) techniques are now increasingly ...
P. Shamna, V.K. Govindan, K.A. Abdul Nazeer   +2 more
doaj   +1 more source

Learning global image representation with generalized‐mean pooling and smoothed average precision for large‐scale CBIR

IET Image Processing, Volume 17, Issue 9, Page 2748-2763, 20 July 2023., 2023
Two models are proposed to extract the global representations of the images for image retrieval, and these models are able to perform a single‐stage search. This is meaningful because the speed of retrieval is faster and the extracted image features occupy less storage footprint. Abstract Content‐based image retrieval (CBIR) is the problem of searching
Jinliang Yao, Yongqing Li, Bing Yang, Chenrui Wang   +3 more
wiley   +1 more source

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

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

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