Abstract
Author: Amaia Salvador-Aguilera
Advisors: Xavier Giró-i-Nieto (UPC) and Kevin McGuinness (Dublin CIty University)
Degree: Master in Computer Vision (1 year)
Video: Thesis defense
This thesis addresses two of the main challenges nowadays for computer vision: object segmentation and visual instance retrieval. The methodologies proposed to solve both problems are based on the use of object candidates and human computation in the computer vision loop. In the object segmentation side, this work explores how human computation can be useful to achieve better segmentation results, by combining users’ traces with a segmentation algorithm based on object candidates. On the other hand, the instance retrieval problem is also addressed using object candidates to compute local features, and involving the user in the retrieval loop by applying relevance feedback strategies.
