Title: Content Based Image Retrieval using Multimodal Data based on CCA

Issue Number: Vol. 8, No. 3
Year of Publication: Sep - 2018
Page Numbers: 119-124
Authors: Ismail A. El Sayad, Mohammad A. Bazzoun, Hawraa I. Younes, Laila M. Ghoteime, Samih Abdulnabi
Journal Name: International Journal of New Computer Architectures and their Applications (IJNCAA)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P002447


The development of CBIR is based on Multimodal analysis, especially for a set of images associated with some text. Multimodality is used in multimedia to improve data retrieval from the multimedia scope. Visual features and unstructured text annotations processed, analyzed, and resolved within two data modalities simultaneously, which is referred to Multimodality. In this paper, a method is proposed for combining visual and textual data to improve the performance of image retrieval from annotated data set by representing image contents and text semantics in a Multimodal analysis space