We contribute, through this paper, to the design of a novel variational framework able to
match and recognize multiple instances of multiple reference logos in image archives …

We describe a system for robustly estimating synthetic depth maps in unconstrained images
and videos, for semi-automatic conversion into stereoscopic 3D. Currently, this process is …

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 …

Recent years have shown us the quick development of social network. For companies,
microblog platform is more and more important as one source to disseminate brand …

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 …

Logos are specially designed marks that identify goods, services, and organizations using
distinguished characters, graphs, signals, and colors. Identifying logos can facilitate scene …

Hue component is generally denoted by angle value, so the conventional edge detection
operators are incapable to accurately detect edges of hue component. As a result, the …

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 …

Online detection of yarn roll's margin is one of the key issues in textile automation, which is
related to the speed and scheduling of bobbin (empty yarn roll) replacement. The actual …

In this paper, a logo classification system based on the appearance of logo images is
proposed. The proposed classification system makes use of global characteristics of logo …