Aggregating Local Descriptors for Epigraphs Recognition
Data(s) |
03/11/2014
03/11/2014
2014
|
---|---|
Resumo |
In this paper, we consider the task of recognizing epigraphs in images such as photos taken using mobile devices. Given a set of 17,155 photos related to 14,560 epigraphs, we used a k-NearestNeighbor approach in order to perform the recognition. The contribution of this work is in evaluating state-of-the-art visual object recognition techniques in this specific context. The experimental results conducted show that Vector of Locally Aggregated Descriptors obtained aggregating SIFT descriptors is the best choice for this task. The Fourth International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage—DiPP2014 is supported by the Ministry of Education and Science and is under the patronage of UNESCO. |
Identificador |
Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol. 4, No 1, (2014), 49p-58p 1314-4006 |
Idioma(s) |
en |
Publicador |
Institute of Mathematics and Informatics Bulgarian Academy of Sciences |
Palavras-Chave | #Epigraphs Recognition #Object Recognition #Content-Base Image Retrieval #Bag-of-Features #VLAD |
Tipo |
Article |