Gas-Net: A deep neural network for gastric tumor semantic segmentation

Autor: Lamia Fatiha KAZI TANI, Mohammed Yassine KAZI TANI, Benamar KADRI

Publikováno v: AIMS Bioengineering, Vol 9, Iss 3, Pp 266-282 (2022)

Currently, the gastric cancer is the source of the high mortality rate where it is diagnoses from the stomach and esophagus tests. To this end, the whole of studies in the analysis of cancer are built on AI (artificial intelligence) to develop the an

Externí odkaz: https://doaj.org/article/43feac0bd50147ee8ce1847042b4445c

A Semi-Automatic Soccer Video Annotation System based on Ontology Paradigm

Autor: Abdelghani Ghomari, Mohammed Yassine Kazi Tani, Lamia Fatiha Kazi Tani

Publikováno v: 2019 10th International Conference on Information and Communication Systems (ICICS).

Currently, the video annotation process becomes a very necessary task to overcome the problem of finding the adequate information on a huge database. To achieve this, it will be necessary to translate low level analysis results to a semantic meaning

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::da4c4a702f087a6c80fa6ad4e81e8586
https://doi.org/10.1109/iacs.2019.8809161

OVIS: ontology video surveillance indexing and retrieval system

Autor: Mohammed Yassine Kazi Tani, Abdelghani Ghomari, Adel Lablack, Ioan Marius Bilasco

Publikováno v: International Journal of Multimedia Information Retrieval
International Journal of Multimedia Information Retrieval, 2017, 6 (4), pp.295-316. ⟨10.1007/s13735-017-0133-z⟩
International Journal of Multimedia Information Retrieval, Springer, 2017, 6 (4), pp.295-316. ⟨10.1007/s13735-017-0133-z⟩

International audience; Nowadays, the diversity and large deployment of video recorders results in a large volume of video data, whose effective use requires a video indexing process. However, this process generates a major problem consisting in the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6467957b5039bbdc32b71fa14ce668ed
https://hal.science/hal-01590265

An ontology based approach for inferring multiple object events in surveillance domain

Autor: Hacene Belhadef, Adel Lablack, Ioan Marius Bilasco, Abdelghani Ghomari, Mohammed Yassine Kazi Tani

Publikováno v: SAI 2014 : Science and Information Conference
SAI 2014 : Science and Information Conference, Aug 2014, London, United Kingdom. pp.404-409, ⟨10.1109/SAI.2014.6918219⟩

International audience; The ontology is an efficient tool that can bridge the semantic gap between the extracted information from the visual data and its interpretation in a given context. The ontology has been used in video surveillance applications

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07d08177de98472fdc3ae222d9043839
https://hal.archives-ouvertes.fr/hal-01075056