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pro vyhledávání: '"Adil CHERGUI"'
Publikováno v:
International Journal of Web-Based Learning and Teaching Technologies. 17:1-13
Handwritten documents in an Enterprise Resource Planning (ERP) system can come from different sources and usually have different designs, sizes, and subjects (i.e. bills, checks, invoices, etc.). Given these documents were filled manually, they have
Autor:
Nagi OULD TALEB, Mohamed Larbi BEN MAATI, Mohamedade Farouk NANNE, Aicha Mint Aboubekrine, Adil CHERGUI
Publikováno v:
International Journal of Advanced Computer Science and Applications. 12
Publikováno v:
ICECOCS
Document classification is a relevant task within every intelligent document processing system. With the advances in deep learning and computer vision techniques, this task has become a painless and straightforward process. However, the need for labe
Publikováno v:
ICMCS
Automatic detection of human in a video sequence is a canonical instance of object detection. It's considered as a nonrigid object; it has many appearances at different perspectives. Different approaches are used by several methods to combine what is
Publikováno v:
Second International Conference on the Innovative Computing Technology (INTECH 2012).
The video used by professionals from various fields and the general public is constantly growing, it's important to develop efficient systems to classify and index them. The video summarization is an essential step to construct a system of indexing a
Construction of an image descriptor from graph representation based on a primitives detected by FAST
Publikováno v:
Second International Conference on the Innovative Computing Technology (INTECH 2012).
Extraction methods of points of interest in image characterization are many and diverse. In general the process of characterization follows a construction of a detector/descriptor schema. The detection allows selecting some points of interest as prim
Publikováno v:
2012 6th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT).
In this article, we propose a new approach to scene segmentation of video based on the shot detection. The methods of segmentation by scenes are still expensive in computation, in most of time; this detection uses matrices of dissimilarity as calcula