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 Vision, Computer Visions, Conference, dcapi, DCAPI blog, Video Analysis, video information retrieval

New Conference paper Accepted to the “ World Congress on Engineering”: Video Matching Using DC-image and Local Features

New Conference  paper Accepted to the “ World Congress on Engineering”

New Conference paper accepted for publishing 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 .

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.

Posted in commonsense knowledgebases, Computer Visions, Conference, dcapi, DCAPI blog, Research, semantic gap, Semantic Video Annotation, Video Analysis, video information retrieval, Video search engine

New Journal paper Accepted to the “Multimedia Tools and Applications”

New Journal paper accepted for publishing in the Journal of “Multimedia Tools and Applications“.

The paper title is “A Framework for Automatic Semantic Video Annotation utilising Similarity and Commonsense Knowledgebases

Abstract:

The rapidly increasing quantity of publicly available videos has driven research into developing automatic tools for indexing, rating, searching and retrieval. Textual semantic representations, such as tagging, labelling and annotation, are often important factors in the process of indexing any video, because of their user-friendly way of representing the semantics appropriate for search and retrieval. Ideally, this annotation should be inspired by the human cognitive way of perceiving and of describing videos. The difference between the low-level visual contents and the corresponding human perception is referred to as the ‘semantic gap’. Tackling this gap is even harder in the case of unconstrained videos, mainly due to the lack of any previous information about the analyzed video on the one hand, and the huge amount of generic knowledge required on the other.

This paper introduces a framework for the Automatic Semantic Annotation of unconstrained videos. The proposed framework utilizes two non-domain-specific layers: low-level visual similarity matching, and an annotation analysis that employs commonsense knowledgebases. Commonsense ontology is created by incorporating multiple-structured semantic relationships. Experiments and black-box tests are carried out on standard video databases for
action recognition and video information retrieval. White-box tests examine the performance of the individual intermediate layers of the framework, and the evaluation of the results and the statistical analysis show that integrating visual similarity matching with commonsense semantic relationships provides an effective approach to automated video annotation.

 

Well done and congratulations to Amjad Altadmri .

Posted in Computer Vision, dcapi, DCAPI blog, EPSRC network, Language, Research, Workshop

Two Presentations and Posters in the Vision & Language Network workshop

Three members of the Lincoln School of Computer Science, and the DCAPI group, have attended the Vision & Language (V&L) Network workshop, 13-14th Dec. 2012 in Sheffield, UK.

Amr Ahmed, Amjad Al-tadmri and Deema AbdalHafeth attended the event, where Amjad and Deema delivered  2 oral presentations and 2 posters about their research work:

1. VisualNet: Semantic Commonsense Knowledgebase for Visual Applications
2. Investigating text analysis of user-generated contents for health related applications

Abstracts are available on ( http://www.vlnet.org.uk/VLW12/VLW-2012-Accepted-Abstracts.html)

Congratulations for all involved.

Amjad Altadmri and Amr Ahmed around their poster at the Vision & Language Net workshop, 13-14th Dec 2012, Sheffield, UK.
Amjad Altadmri and Amr Ahmed around their poster at the Vision & Language Net workshop, 13-14th Dec 2012, Sheffield, UK.
Deema AbdalHafeth and Amr Ahmed at the Vision & Language Net workshop, 13-14th Dec 2012, Sheffield, UK.
Deema AbdalHafeth and Amr Ahmed at the Vision & Language Net workshop, 13-14th Dec 2012, Sheffield, UK.

The event included tutorial sessions (Vision for language people, and language for vision people). We had an increased presence this year.

Last year, we had a good presence in the last year’s workshop (http://amrahmed.blogs.lincoln.ac.uk/2011/09/19/vl-network-workshop-brighton/), had good discussions and useful feedback on the presented work.

Looking forward for similar, if not even better, experience this year.

Best wishes for the presentations.

Posted in dcapi, DCAPI blog, Elderly, NDA program, Research, research project, SUS-IT, Workshop

Amr attended the ECM & workshop of the SUS-IT project

Amr Ahmed attended the ECM (Executive Committee Meeting) of his SUS-IT project (http://sus-it.lboro.ac.uk/) at Loughborough, and participated in the 2 days workshop for the project. This is one of the very important meetings, especially towards the late stage of the project, with all workpackages represented.

SUS-IT ECM and Workshop in Loughborough - Nov2011

WP3: SUS-IT ECM and Workshop in Loughborough - Nov2011

SUS-IT ECM and Workshop in Loughborough - Nov2011

 

Posted in dcapi, DCAPI blog, Elderly, iNET Scooter, Research, research project, Workshop

(iNET) Intelligent Mobility: Making it a Commercial Reality – National Space Centre

 

Amr Presenting a Poster at the National Space Centre, Leicester. iNET Transport, Mobility Scooter with Navigation System

Amr Ahmed has been invited for this iNET Transport event at the National Space Centre, as has been a partner in one of the iNET Transport projects. During the day, Amr presented a Poster, with support from Tony Daniel, about his iNET project; Mobility Scooter with navigation system (Demo video at: http://www.youtube.com/watch?v=RGQm4GKfgN0 and list of Projects at http://amrahmed.blogs.lincoln.ac.uk/projects/ )

 

 

Amr Presenting a Poster at the National Space Centre, Leicester. iNET Transport, Mobility Scooter with Navigation System

National Space Centre – Leicester

Posted in Computer Vision, dcapi, DCAPI blog, EPSRC network, Knowledge Engineering, Language, Research, Workshop

V&L Network workshop, Brighton

Dr Amr Ahmed attended the Vision & Language Netowork Workshop in Brighton last Thursday 15th September, where 2 posters and oral presentation were presented from the DCAPI group.

DCAPI poster at the V&L Network workshop - Sept'11 - Brighton

DCAPI poster at the V&L workshop

 

Over 40 researchers, from vision and language areas, attended and it was a good opportunity for networking and exchange of contacts and ideas. Posters and sides will be available on the network’s website in the near future

Amr and a keynote speaker

Amr and a keynote speaker

Amr and a keynote speaker

Amr and one of the keynote speaker

 

Mr Amjad Altadmri also attended and presented in the event.

Some nice photos in Brighton,

Amr in Brighton Pier

Amr in Brighton Pier

with some Icereame! :)

Posted in dcapi, DCAPI blog, Elderly, NDA program, research project, SUS-IT

ECM9 and Audit meeting for SUS-IT project

Dr Amr Ahmed participated in the 9th Executive Committe Meeting (ECM) of his SUS-IT project, at Loughborough, on 9th Septmeber. This was immediately followed by an Audit meeting with an NDA representative.

Very interesting to see the work of such a large consortium coming together during the final year of the project, with experienced researchers/professors.  An excellent experience.