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 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 commonsense knowledgebases, Compressed Video, Computer Vision, dcapi, DCAPI blog, DHS, Elderly, EPSRC network, I-Frame, iNET Scooter, International, Knowledge Engineering, Language, NDA program, PhD, Research, research project, semantic gap, Semantic Video Annotation, Surgeon training, SUS-IT, Uncategorized, Video Analysis, video information retrieval, Video Matching, Video search engine, Virtual Reality, Virtual training
Interested in joining us as a “Research Fellow”?
Get in touch by emailing aahmed@lincoln.ac.uk

Welcome to the DCAPI research group.

Our multi-disciplinary research is mainly focused on the analysis and mining of digital contents (Visual; images and videos, and textual). This includes Computer Vision, Image/Video Processing and analysis, Semantic Analysis, annotation, Action recognition, Image/Video Matching and similarity (Copy & Near-Duplicate detection), and many others.

We welcome any discussion and potential collaboration. Please get in touch with us (contacts on the right side-bar).

Posted in commonsense knowledgebases, Compressed Video, Computer Vision, dcapi, DCAPI blog, I-Frame, Knowledge Engineering, PhD, Research, research project, semantic gap, Semantic Video Annotation, Video Analysis, video information retrieval, Video Matching, Video search engine

Featured Research topics

Posted in Computer Vision, Computer Visions, Conference, dcapi, DCAPI blog, PhD, Research, Uncategorized, Video Analysis, video information retrieval, Video search engine

Conference paper presented in “ World Congress on Engineering 2013”

Saddam Bekhet presented his accepted paper in “World Congress on Engineering 2013“.
The paper title is “Video Matching Using DC-image and Local Features ”

Abstract:

This paper presents a suggested framework for video matching based on local features extracted from the DC-image of MPEG compressed videos, without decompression. The relevant arguments and supporting evidences are discussed for developing video similarity techniques that works directly on compressed videos, without decompression, and especially utilising small size images. Two experiments are carried to support the above. The first is comparing between the DC-image and I-frame, in terms of matching performance and the corresponding computation complexity. The second experiment compares between using local features and global features in video matching, especially in the compressed domain and with the small size images. The results confirmed that the use of DC-image, despite its highly reduced size, is promising as it produces at least similar (if not better) matching precision, compared to the full I-frame. Also, using SIFT, as a local feature, outperforms precision of most of the standard global features. On the other hand, its computation complexity is relatively higher, but it is still within the real-time margin. There are also various optimisations that can be done to improve this computation complexity.

Well done and congratulations to Saddam Bekhet .
20130704_112542

Posted in Computer Visions, dcapi, DCAPI blog, PhD, Research, Semantic Video Annotation, Video Analysis, viva

Amjad Altadmri – PhD

Amjad Altadmri has passed his PhD viva, subject to minor amendments, earlier today.

Thesis Title:  “Semantic Video Annotation in Domain-Independent Videos Utilising Similarity and Commonsense Knowledgebases

Thanks to the external, Dr John Wood from the University of Essex, the internal Dr Bashir Al-Diri and the viva chair, Dr Kun Guo.

Congratulations and Well done.

All colleagues are invited to join Amjad on celebrating his achievement, tomorrow (Thursday 28th Feb) at 12:00noon, in our meeting room MC3108, with some drinks and light refreshments available.

Best wishes.