Results 11 to 20 of about 678,145 (379)
A Comparative Analysis of Retrieval Techniques In Content Based Image Retrieval [PDF]
arXiv, 2015 Basic group of visual techniques such as color, shape, texture are used in Content Based Image Retrievals (CBIR) to retrieve query image or subregion of image to find similar images in image database. To improve query result, relevance feedback is used many times in CBIR to help user to express their preference and improve query results.In this paper ...
Gajanan K. Kharate, Mohini P. Sardey
arxiv +3 more sources
Human-Centered Content-Based Image Retrieval [PDF]
SPIE Proceedings, 2008 A breakthrough is needed in order to achieve a substantial progress in the field of Content-Based Image Retrieval (CBIR). This breakthrough can be enforced by: 1) optimizing user-system interaction, 2) combining the wealth of techniques from text-based Information Retrieval with CBIR techniques, 3) exploiting human cognitive characteristics, especially
Kok, Thijs +3 more
core +6 more sources
Content Based Image Retrieval [PDF]
International Journal of Trend in Scientific Research and Development, 2019 The incremented desideratum of content based image retrieval system can be found in a number of different domains such as Data Mining, Edification, Medical Imaging, Malefaction Aversion, climate, Remote Sensing and Management of Globe Resources. Google's image search and photo album implements such as image search, Google's Picasa project applications ...
Dr. Aziz Makandar +2 more
openaire +3 more sources
Survey of Deep Feature Instance Level Image Retrieval Algorithms [PDF]
Jisuanji kexue yu tansuo, 2023 Content-based image retrieval algorithm (CBIR) aims to find semantically matching or similar images with query images. It analyzes visual content in a large number of image databases. It is important to obtain discriminant image representation by feature
JI Changqing, WANG Bingbing, QIN Jing, WANG Zumin
doaj +1 more source
A Decade Survey of Content Based Image Retrieval Using Deep Learning [PDF]
IEEE transactions on circuits and systems for video technology (Print), 2020 The content based image retrieval aims to find the similar images from a large scale dataset against a query image. Generally, the similarity between the representative features of the query image and dataset images is used to rank the images for ...
S. Dubey
semanticscholar +1 more source
Content Based Image Retrieval [PDF]
IOSR Journal of Computer Engineering, 2013 With the passing years, many advanced technologies have come into existence for efficientimage retrieval. Research in content-based image retrieval (CBIR) in the past has been focused on image processing, low-level feature extraction. The accuracy of retrieval has subsequently increased with the use of low level features such as color, texture, shape ...
Zahid Gulzar Khaki, Showkat Ahmad Dar
openaire +3 more sources
Content-based image retrieval: A review of recent trends
Cogent Engineering, 2021 With the availability of internet technology and the low-cost of digital image sensor, enormous amount of image databases have been created in different kind of applications.
I. M. Hameed +2 more
semanticscholar +1 more source
Content-Based Image Retrieval: An Assessment [PDF]
International Journal of Trend in Scientific Research and Development, 2019 The explosive increase and ubiquitous accessibility of visual data on the Web have led to the prosperity of research activity in image search or retrieval. With the ignorance of visual content as a ranking clue, methods with text search techniques for visual retrieval may suffer inconsistency between the text words and visual content.
Santosh Kumar Swarnkar +1 more
openaire +1 more source
Content-based Image Retrieval Speedup [PDF]
2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), 2019 Content-based image retrieval (CBIR) is a task of retrieving images from their contents. Since retrieval process is a time-consuming task in large image databases, acceleration methods can be very useful. This paper presents a novel method to speed up CBIR systems.
Abdolreza Rashno +2 more
openaire +3 more sources
A Study on Content-Based Image Retrieval [PDF]
International Journal of Trend in Scientific Research and Development, 2018 The development of Internet causes an eruptive expansion of digital images, and also gives people more ways to get those images. Because the dissemination of video and image data in digital form has grown, Content Based Image Retrieval CBIR has become an eminent research topic. The importance of an effective technique in searching and retrieving images
Shabnam Kumari, Reema, Yashika Kadian
openaire +1 more source