Trademark image retrieval using a combination of deep convolutional neural networks
Trademarks are recognizable images and/or words used to distinguish various products or
services. They become associated with the reputation, innovation, quality, and warranty of …
services. They become associated with the reputation, innovation, quality, and warranty of …
A large-scale dataset and benchmark for similar trademark retrieval
Trademark retrieval (TR) has become an important yet challenging problem due to an ever
increasing trend in trademark applications and infringement incidents. There have been …
increasing trend in trademark applications and infringement incidents. There have been …
Multi‐label logo recognition and retrieval based on weighted fusion of neural features
Classifying logo images is a challenging task as they contain elements such as text or
shapes that can represent anything from known objects to abstract shapes. While the current …
shapes that can represent anything from known objects to abstract shapes. While the current …
Metu dataset: A big dataset for benchmarking trademark retrieval
Trademark retrieval (TR) is the problem of retrieving similar trademarks (logos) for a query,
and the main aim is to detect copyright infringements in trademarks. Since there are millions …
and the main aim is to detect copyright infringements in trademarks. Since there are millions …
Trademark image retrieval via transformation-invariant deep hashing
Trademark images are usually used to distinguish goods due to their uniqueness, and the
amount becomes too huge to search these images accurately and fast. Most existing …
amount becomes too huge to search these images accurately and fast. Most existing …
Similar trademark image retrieval integrating LBP and convolutional neural network
T Lan, X Feng, Z **a, S Pan, J Peng - … , Revised Selected Papers, Part III 9, 2017 - Springer
Trademarks play a very important role in the field of economics and companies and are
usually used to distinguish goods among different producers and operators, represent …
usually used to distinguish goods among different producers and operators, represent …
A Deep Learning-based Solution for Identification of Figurative Elements in Trademark Images
Labeling of trademark images with Vienna codes from the Vienna classification is a manual
process carried out by domain experts by searching trademark image databases using …
process carried out by domain experts by searching trademark image databases using …
Similarity retrieval of trademark images by vector graphics based on shape characteristics of components
K Abe, H Morita, T Hayashi - Proceedings of the 2018 10th International …, 2018 - dl.acm.org
This paper presents a similarity retrieval of trademark images represented by vector
graphics. In the real inspection for new trademark images, similarity for essential objects …
graphics. In the real inspection for new trademark images, similarity for essential objects …
Semantic interpretation of events in lifelogging
P Wang - 2012 - doras.dcu.ie
The topic of this thesis is lifelogging, the automatic, passive recording of a person's daily
activities and in particular, on performing a semantic analysis and enrichment of lifelogged …
activities and in particular, on performing a semantic analysis and enrichment of lifelogged …
Deep learning for identification of figurative elements in trademark images using Vienna codes
A Uzairi - 2021 - diva-portal.org
Labeling of trademark images with Vienna codes from the Vienna classification is a manual
process carried out by domain experts, which enables searching trademark image …
process carried out by domain experts, which enables searching trademark image …