Unsupervised affinity learning based on manifold analysis for image retrieval: A survey
VH Pereira-Ferrero, TG Lewis, LP Valem… - Computer Science …, 2024 - Elsevier
Despite the advances in machine learning techniques, similarity assessment among
multimedia data remains a challenging task of broad interest in computer science …
multimedia data remains a challenging task of broad interest in computer science …
Sparse contextual activation for efficient visual re-ranking
In this paper, we propose an extremely efficient algorithm for visual re-ranking. By
considering the original pairwise distance in the contextual space, we develop a feature …
considering the original pairwise distance in the contextual space, we develop a feature …
Computing invariants of Tchebichef moments for shape based image retrieval
H Wu, S Yan - Neurocomputing, 2016 - Elsevier
Generally, discrete orthogonal moments are difficult to induce rotation invariants. Based on
relationship between Tchebichef polynomials and power series, we propose a new …
relationship between Tchebichef polynomials and power series, we propose a new …
From a non-local Ambrosio-Tortorelli phase field to a randomized part hierarchy tree
S Tari, M Genctav - Journal of mathematical imaging and vision, 2014 - Springer
In its most widespread imaging and vision applications, Ambrosio and Tortorelli (AT) phase
field is a technical device for applying gradient descent to Mumford and Shah simultaneous …
field is a technical device for applying gradient descent to Mumford and Shah simultaneous …
Triangular inequality-based rotation-invariant boundary image matching for smart devices
YS Moon, WK Loh - Multimedia Systems, 2015 - Springer
Nowadays there are many efforts to develop image matching applications exploiting a large
number of images stored in smart devices such as smartphones, smart pads, and smart …
number of images stored in smart devices such as smartphones, smart pads, and smart …
Envelope-based boundary image matching for smart devices under arbitrary rotations
Recently, a variety of smart devices have been introduced for entertainment or industrial
purposes, and there have been a lot of needs for image matching applications exploiting a …
purposes, and there have been a lot of needs for image matching applications exploiting a …
Where next in object recognition and how much supervision do we need?
Object class recognition is an active topic in computer vision still presenting many
challenges. In most approaches, this task is addressed by supervised learning algorithms …
challenges. In most approaches, this task is addressed by supervised learning algorithms …
[PDF][PDF] 基于同底三角形面积描述的形状检索
胡大盟, 黄伟国, 杨剑宇, 朱忠奎 - 电子学报, 2016 - ejournal.org.cn
为了在形状匹配的过程中提高形状特征对边界噪声和图像变形的鲁棒性, 同时兼顾形状匹配算法
的检索精度和运算效率, 提出一种基于同底三角形面积的形状匹配方法. 该方法首先计算每个 …
的检索精度和运算效率, 提出一种基于同底三角形面积的形状匹配方法. 该方法首先计算每个 …
[PDF][PDF] Computer Science Review
Despite the advances in machine learning techniques, similarity assessment among
multimedia data remains a challenging task of broad interest in computer science …
multimedia data remains a challenging task of broad interest in computer science …
[图书][B] Semi-supervised learning for image classification
S Ebert - 2012 - publikationen.sulb.uni-saarland.de
Object class recognition is an active topic in computer vision still presenting many
challenges. In most approaches, this task is addressed by supervised learning algorithms …
challenges. In most approaches, this task is addressed by supervised learning algorithms …