Results 71 to 80 of about 1,137 (158)
In order to effectively integrate consistent information between the multiple layers of the Swin Transformer, the model conducts parameter self‐ensemble of the internal blocks of the Swin Transformer. Abstract The Swin‐Transformer is a variant of the Vision Transformer, which constructs a hierarchical Transformer that computes representations with ...
Yixuan Xu +3 more
wiley +1 more source
Learning visual features for relational CBIR
Recent works in deep-learning research highlighted remarkable relational reasoning capabilities of some carefully designed architectures. In this work, we employ a relationship-aware deep learning model to extract compact visual features used relational image descriptors.
Messina N +4 more
openaire +3 more sources
A Content-Based Image Retrieval Scheme Using an Encrypted Difference Histogram in Cloud Computing
Content-based image retrieval (CBIR) has been widely used in many applications. Large storage and computation overheads have made the outsourcing of CBIR services attractive.
Dandan Liu +3 more
doaj +1 more source
Mitigating cloud vulnerabilities using a blockchain platform
Content-Based Image Retrieval (CBIR) has become a critical technology for efficiently searching and retrieving images from large datasets based on their visual content.
Dina Zoughbi, Kavitha Venkatachalam
doaj +1 more source
A novel framework of feature generation for Content based image retrieval (CBIR) is proposed. This system is realized on Cyclic transform Analysis (CTA). It introduces statistical descriptors in the signals frequency domain.
Shahin Shafei +3 more
doaj
Content-Based Image Retrieval for Tourism Application Using Handheld Devices
This paper proposed a scenario for using a CBIR (Content-Based Image Retrieval) system in tourism application. Several CBIR algorithms are studied and applied for the proposed scenario.
Zobeir Raisi +2 more
doaj
MULTILEVEL APPROACH OF CBIR TECHNIQUES FOR VEGETABLE CLASSIFICATION USING HYBRID IMAGE FEATURES [PDF]
CBIR is a technique to retrieve images semantically relevant to query image from an image database. The challenge in CBIR is to develop a method that should increase the retrieval accuracy and reduce the retrieval time.
D. Latha +2 more
doaj
The Use of QBIC Content-Based Image Retrieval System [PDF]
The fast increase in digital images has caught increasing attention on the development of image retrieval technologies. Content-based image retrieval (CBIR) has become an important approach in retrieving image data from a large collection.
Ching-Yi Wu +2 more
doaj
COMPREHENSIVE ANALYSIS OF SOME RECENT COMPETITIVE CBIR TECHNIQUES
In today’s real life applications complexity of multimedia contents is significantly increased. This is highly demanding the development of effective retrieval systems to satisfy human desires.
Pradnya Vikhar, P P Karde, V M Thakare
doaj
Improving CBIR Systems Using Automated Ranking
The most common way of searching images on the Internet and in private collections is based on a similarity measuring of a series of text words that are assigned to each image with users query series. This method imposes strong constraints (the number of words to describe the image, the time necessary to thoroughly describe the subjective experience of
B. D. Reljin, N. S. Kojić, G. J. Zajić
openaire +1 more source

