Type

Journal Article

Authors

Noel E. O'Connor
Kevin McGuinness
Rafal Kapela

Subjects

Computer Science

Topics
classification time and space sports image resolution real time systems video indexing field sports video real time

Real-time field sports scene classification using colour and frequency space decompositions. (2013)

Abstract This paper presents a novel approach to recognize a scene presented in an image with specific application to scene classification in field sports video. We propose different variants of the algorithm ranging from bags of visual words to the simplified real-time implementation, that takes only the most important areas of similar colour into account. All the variants feature similar accuracy which is comparable to very well-known image indexing techniques like SIFT or HoGs. For the comparison purposes, we also developed a specific database which is now available online. The algorithm is suitable in scene recognition task thanks to changes in speed and robustness to the image resolution, thus, making it a good candidate in real-time video indexing systems. The procedure features high simplicity thanks to the fact that it is based on the very well-known Fourier transform.
Collections Ireland -> Dublin City University -> PubMed

Full list of authors on original publication

Noel E. O'Connor, Kevin McGuinness, Rafal Kapela

Experts in our system

1
Noel E. O'Connor
Dublin City University
Total Publications: 474
 
2
Kevin McGuinness
Dublin City University
Total Publications: 93
 
3
Rafal Kapela
Dublin City University
Total Publications: 4