Posted in Conference, dcapi, DCAPI blog, Medical Image Processing, PhD, Research

Medical Imaging Summer School “MISS’16”

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.

 

IMG_9756 IMG_9796 Md Poster

Posted in Compressed Video, Computer Vision, dcapi, DCAPI blog, I-Frame, PhD, Research, Semantic Video Annotation, Video Analysis, video information retrieval, Video Matching, Video search engine, viva

Dr Saddam Bekhet, successfully passed viva

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.

Posted in Barrett's Esophagus, dcapi, DCAPI blog, Enhancement, Medical Image Processing, Research

2016 ISBI AIDA-E Barrett’s Challenge Winner

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!!!

 

Untitled

Posted in Compressed Video, Computer Vision, dcapi, DCAPI blog, Research, Video Analysis, Video Matching

PGRs Showcase Event 2015: Well done DCAPI members

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 showing a sample demo of his work.
Saddam showing a sample demo of his work on video matching and retrieval.

 

Saddam also won the “Best Presentation” prize for his video similarity detection presentation.

Best presentation for Saddam

 

Saddam next to his poster.
Saddam next to his poster.

 

Hussein Presenting his work.
Hussein Presenting his work about computer aided classification of liver diseases.
Head of DCAPI group Dr.Amr Ahmed with Saddam Bekhet and Hussein Alahmar at the showcase event
Head of DCAPI group Dr.Amr Ahmed with group members, Saddam Bekhet and Hussein Alahmar at the showcase event
Posted in Computer Vision, Conference, I-Frame, International, PhD, Research, Video Analysis, Video Matching

Conference paper presented in “ ICPR 2014”

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.

DSC_0402  DSC_0409   DSC_0393   DSC_0283

 

Posted in Compressed Video, Computer Vision, dcapi, DCAPI blog, PhD, Research, Workshop

PGRs Showcase Event

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.

Saddam receiving his "Certificate of Achievment" for "Best Demo".
Saddam receiving his “Certificate of Achievment” for “Best Demo”.

 

 

 

 

 

 

 

 

 

Saddam presenting his research work in Video Matching and retrieval.
Saddam presenting his research work in Video Matching and retrieval.

 

 

 

 

 

 

 

 

 

 

 

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.

Saddam demonstrating his "Interactive, drag-n-drop Video matching and retrieval" demo to visitors & companies representatives and colleagues
Saddam demonstrating his “Interactive, drag-n-drop Video matching and retrieval” demo to visitors & companies representatives and colleagues
All around the poster, with explanation from Saddam on his work on the "Compressed Video matching and retrieval"
All around the poster, with explanation from Saddam on his work on the “Compressed Video matching and retrieval”

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

The event is organised by Dr Amr Ahmed (Leader of the DCAPI group, and the Program Leader for PGRs), for a number of years.

Annual "Showcase Event" for School of Computer Science. Dr Amr Ahmed take this intitiative and organised this event for a number of years.
Annual “Showcase Event” for School of Computer Science. Dr Amr Ahmed take this intitiative and organised this event for a number of years.
Amr is arranging the Registration and welcome table.
Amr is arranging the Registration and welcome table.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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.

Head of School, Dr David Cobham (left)
Head of School, Dr David Cobham (left)
Head of School handing in the "Thank You" Certificates for Helpers and the Admin Team.
Head of School handing in the “Thank You” Certificates for Helpers and the Admin Team.
Head of School handing in the "Thank You" Certificates for Helpers and the Admin Team.
Head of School handing in the “Thank You” Certificates for Helpers and the Admin Team.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

All had fun during the Poster session and inbetween the sessions as well.

PGRs together, with the Head of School and the Program Leader for PGRs, following the Posters session
PGRs together, with the Head of School and the Program Leader for PGRs, following the Posters session

 

 

 

 

 

 

 

 

 

 

 

Posted in Compressed Video, Computer Vision, Conference, Research, Video Analysis, Video Matching

New paper accepted in ICPR 2014 – “Compact Signature-based Compressed Video Matching Using Dominant Colour Profiles (DCP)”

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.