Content-based image retrieval: A review of recent trends
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 …
enormous amount of image databases have been created in different kind of applications …
Image retrieval: Ideas, influences, and trends of the new age
We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …
as an emerging technology. While the last decade laid foundation to such promise, it also …
A decade survey of content based image retrieval using deep learning
SR Dubey - IEEE Transactions on Circuits and Systems for …, 2021 - ieeexplore.ieee.org
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 …
against a query image. Generally, the similarity between the representative features of the …
Noscope: optimizing neural network queries over video at scale
Recent advances in computer vision-in the form of deep neural networks-have made it
possible to query increasing volumes of video data with high accuracy. However, neural …
possible to query increasing volumes of video data with high accuracy. However, neural …
Progressive distributed and parallel similarity retrieval of large CT image sequences in mobile telemedicine networks
Y Zhuang, N Jiang, Y Xu - Wireless communications and …, 2022 - Wiley Online Library
Computed tomography image (CTI) sequence is essentially a time‐series data that typically
consists of a large amount of nearby and similar CTIs. Due to the high communication and …
consists of a large amount of nearby and similar CTIs. Due to the high communication and …
Cross-domain image retrieval with a dual attribute-aware ranking network
We address the problem of cross-domain image retrieval, considering the following practical
application: given a user photo depicting a clothing image, our goal is to retrieve the same or …
application: given a user photo depicting a clothing image, our goal is to retrieve the same or …
Deep multimodal distance metric learning using click constraints for image ranking
How do we retrieve images accurately? Also, how do we rank a group of images precisely
and efficiently for specific queries? These problems are critical for researchers and …
and efficiently for specific queries? These problems are critical for researchers and …
[LIBRO][B] Computer vision: algorithms and applications
R Szeliski - 2022 - books.google.com
Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …
despite all of the recent advances in computer vision research, the dream of having a …
[LIBRO][B] Data mining: concepts and techniques
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
[LIBRO][B] Modern information retrieval
R Baeza-Yates, B Ribeiro-Neto - 1999 - people.ischool.berkeley.edu
Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …