Digital Contents Analysis, Production, and Interaction
The poster presenting the paper entitled “Automatic Grade Classification of Barretts Esophagus through Feature Enhancement” presented in the SPIE Medical imaging Conference 2017 got the “Cum laude Poster Award” – Computer Aided Diagnosis.
Well done and congratulation Noha Ghatwary
Noha Ghatwary and Alyaa Amer attended the Medical Imaging Summer School that was held in Favignana, Sicily. They had the chance to engage with around 160 medical image researchers and share their knowledge through discussion and reading groups.
The school held several lectures that discussed different topics presented by different Lectures expert in that field. Also, Noha Ghatwary had the chance to present the accepted paper “Liver CT Enhancement using Fractional Differentiation and Integration” in the poster session and discuss it with the attendees.
Congratulations to Saddam who successfully passed his PhD VIVA on 23rd May 2016.
Examiners have commended Saddam’s work and contributions. They also emphasized how well written the thesis is.
A well-deserved achievement Saddam, well done.
And all the best for your future career.
Noha Ghatwary and the Team submitted the proposed Barrett’s Esophagus Classification model to the “Analysis of Images to Detect Abnormalities in Endoscopy” challenge that was held in the ISBI 2016 at Prague.
The proposed model was the winner of the challenge. Congratulations everyone!!!
Members of DCAPI have presented and showed their research work in the third Annual Showcase Event for the School of Computer Science, University of Lincoln. (6th and 7th May). The event accompanied by wide attendances from several companies (Google UK, Siemens, QinetiQ, mass, Artsgraphica, Heritage Lincolnshire, …).
Saddam also won the “Best Presentation” prize for his video similarity detection presentation.
Saddam Bekhet presented his accepted paper in ICPR2014 , Stockholm, Sweden
The paper title is “Compact Signature-based Compressed Video Matching Using Dominant Colour Profiles (DCP) ”
Abstract— This paper presents a novel technique for efficient and generic matching of compressed video shots, through compact signatures extracted directly without decompression. The compact signature is based on the Dominant Color Profile (DCP); a sequence of dominant colors extracted and arranged as a sequence of spikes in analogy to the human retinal representation of a scene. The proposed signature represents a given video shot with ~490 integer values, facilitating for real-time processing to retrieve a maximum set of matching videos. The technique is able to work directly on MPEG compressed videos, without full decompression, as it utilizes the DC-image as a base for extracting color features. The DC-image has a highly reduced size, while retaining most of visual aspects, and provides high performance compared to the full I-frame. The experiments and results on various standard datasets show the promising performance, both the accuracy and the efficient computation complexity, of the proposed technique.
Congratulations and well done for Saddam and Amr.
Members of DCAPI have presented and showed their research work in the Annual Showcase Event for the School of Computer Science, University of Lincoln. (14th and 15th May). Saddam also won the “Best Demo” prize for his video matching & retrieval interactive demo.
Postgraduates by Research (PGRs) had all day on Wed 14th May and featured in the morning of Thursday 15th May as well, with visitors and companies representatives.
The event is organised by Dr Amr Ahmed (Leader of the DCAPI group, and the Program Leader for PGRs), for a number of years.
The event was also officially opened (and concluded) by the Head of School, Dr David Cobham, who attended the full program and handed the certificates to winners as well as the Helpers, including the Admin team.
All had fun during the Poster session and inbetween the sessions as well.
The paper “Compact Signature-based Compressed Video Matching Using Dominant Colour Profiles (DCP)” has been accepted in the ICPR 2014 conference http://www.icpr2014.org/, and will be presented in August 2014, Stockholm, Sweden.
Abstract— This paper presents a novel technique for efficient and generic matching of compressed video shots, through compact signatures extracted directly without decompression. The compact signature is based on the Dominant Color Profile (DCP); a sequence of dominant colors extracted and arranged as a sequence of spikes in analogy to the human retinal representation of a scene. The proposed signature represents a given video shot with ~490 integer values, facilitating for real-time processing to retrieve a maximum set of matching videos. The technique is able to work directly on MPEG compressed videos, without full decompression, as it utilizes the DC-image as a base for extracting color features. The DC-image has a highly reduced size, while retaining most of visual aspects, and provides high performance compared to the full I-frame. The experiments and results on various standard datasets show the promising performance, both the accuracy and the efficient computation complexity, of the proposed technique.
Congratulations and well done for Saddam.
Saddam Bekhet presented a poster at university of Lincoln postgraduate conference 2014.
New chapter titled “DC-Image for Real Time Compressed Video Matching” is published in Springer Transactions on Engineering Technologies 2014 ,
Well done and congratulations to Saddam Bekhet