Results 41 to 50 of about 6,693,779 (355)

Medical Image Retrieval: Past and Present [PDF]

Healthcare Informatics Research, 2012
With the widespread dissemination of picture archiving and communication systems (PACSs) in hospitals, the amount of imaging data is rapidly increasing. Effective image retrieval systems are required to manage these complex and large image databases. The
Kyung Hoon Hwang, Haejun Lee, Duckjoo Choi   +2 more
doaj   +1 more source

Deep Image Synthesis, Analysis and Indexing Using Integrated CNN Architectures

IEEE Access
The excessive use of Internet technology is leading to a massive increase in multimedia content. Fast and effective image retrieval over a wide range of databases is a difficult task in this modern research era.
Muhammad Arslan, Muhammad Asad, Ali Haider Khan, Sajid Iqbal, Muhammad Nabeel Asghar, Abdullah Abdulrhman Alaulamie   +5 more
doaj   +1 more source

Retrieval-Augmented Image Harmonization

Pattern Recognition
When embedding objects (foreground) into images (background), considering the influence of photography conditions like illumination, it is usually necessary to perform image harmonization to make the foreground object coordinate with the background image in terms of brightness, color, and etc.
Haolin Wang, Ming Liu, Zifei Yan, Chao Zhou, Longan Xiao, Wangmeng Zuo   +5 more
openaire   +2 more sources

Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval [PDF]

Computer Vision and Pattern Recognition, 2019
In this paper, we investigate the problem of zero-shot sketch-based image retrieval (ZS-SBIR), where human sketches are used as queries to conduct retrieval of photos from unseen categories.
S. Dey, Pau Riba, Anjan Dutta, J. Lladós, Yi-Zhe Song   +4 more
semanticscholar   +1 more source

Co-word mapping of Image Retrieval based on Web of Science-Indexed Papers [PDF]

مجله علم‌سنجی کاسپین, 2017
Background and aim: Given the special status and wide usage of image retrieval in various fields, the present investigation studied on the research trends and significant factors within the field of image retrieval and drawing the co-word map based on ...
Samira Daniali, Nader Naghshineh, Gholamreza Fadai   +2 more
doaj  

Efficient Image Retrieval Scheme Based on Hybrid Similarity [PDF]

Jisuanji gongcheng, 2019
Fusion of visual and text information can bridge the semantic gap between low-level visual features of images and high-level semantics,and thus improve retrieval quality.
ZENG Mengqi, MA Weiyin, LI Li
doaj   +1 more source

Benchmarking Image Retrieval for Visual Localization [PDF]

International Conference on 3D Vision, 2020
Visual localization, i.e., camera pose estimation in a known scene, is a core component of technologies such as autonomous driving and augmented reality.
No'e Pion, M. Humenberger, G. Csurka, Yohann Cabon, Torsten Sattler   +4 more
semanticscholar   +1 more source

Cell density–dependent nuclear‐cytoplasmic shuttling of SETDB1 integrates with Hippo signaling to regulate YAP1‐mediated transcription

FEBS Letters, EarlyView.
At low cell density, SETDB1 and YAP1 accumulate in the nucleus. As cell density increases, the Hippo pathway is gradually activated, and SETDB1 is associated with increased YAP1 phosphorylation. At high cell density, phosphorylated YAP1 is sequestered in the cytoplasm, while SETDB1 becomes polyubiquitinated and degraded by the ubiquitin–proteasome ...
Jaemin Eom, Jaewoong Jang, Jung Sun Park, Yong‐Kook Kang   +3 more
wiley   +1 more source

Multi-PQTable for Approximate Nearest-Neighbor Search

Information, 2019
Image retrieval or content-based image retrieval (CBIR) can be transformed into the calculation of the distance between image feature vectors. The closer the vectors are, the higher the image similarity will be.
Xinpan Yuan, Qunfeng Liu, Jun Long, Lei Hu, Songlin Wang   +4 more
doaj   +1 more source

Mélange fabric image retrieval based on soft similarity learning

Journal of Engineered Fibers and Fabrics, 2022
Fabric image retrieval, a special case in Content Based Image Retrieval, has high potential application value in many fields. Compared with common image retrieval, fabric image retrieval has high requirements for results.
Jun Xiang, Ruru Pan, Weidong Gao
doaj   +1 more source