15 citations · 23 across the 3 of their papers we have counts for
5 papers
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation
Vicente Dominguez, Pablo Messina, Denis Parra +3
Advances in image processing and computer vision in the latest years have brought about the use of visual features in artwork recommendation. Recent works have shown that visual fe…
Exploring Content-based Artwork Recommendation with Metadata and Visual Features
Pablo Messina, Vicente Dominguez, Denis Parra +2
Compared to other areas, artwork recommendation has received little attention, despite the continuous growth of the artwork market. Previous research has relied on ratings and meta…
How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval
Rodrigo Toro Icarte, Jorge A. Baier, Cristian Ruz +1
The knowledge representation community has built general-purpose ontologies which contain large amounts of commonsense knowledge over relevant aspects of the world, including usefu…
A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets
Ivan Lillo, Juan Carlos Niebles, Alvaro Soto
In this paper, we introduce a new hierarchical model for human action recognition using body joint locations. Our model can categorize complex actions in videos, and perform spatio…
Action Recognition in Video Using Sparse Coding and Relative Features
Anali Alfaro, Domingo Mery, Alvaro Soto
This work presents an approach to category-based action recognition in video using sparse coding techniques. The proposed approach includes two main contributions: i) A new method…