Month: September 2013

Congratulations to Dr Amjad Altadmri for completeing his PhD degree. Amjad received his PhD degree in the formal September Graduation Ceremony at the Lincoln Cathedral.

His PhD titled “Semantic Annotation of Domain-Independent Uncontrolled Videos, Incorporating Visual Similarity and Commonsesne Knowledge Bases”. The work produced a Framework for semantic video annotation. In addition, VisualNet was also produced, which is a semantic Network for Visual-related applications.

The photo shows Dr Amjad Altadmri (Left) with his Director of Studies/Supervisor Dr Amr Ahmed ( right).

A list of publications of Amjad’s PhD are below:

• A framework for automatic semantic video annotation 
  Altadmri, Amjad and Ahmed, Amr (2013) A framework for automatic semantic video annotation. Multimedia Tools and Applications, 64 (2). ISSN 1380-7501.
• Semantic levels of domain-independent commonsense knowledgebase for visual indexing and retrieval applications 
  Altadmri, Amjad and Ahmed, Amr and Mohtasseb Billah, Haytham (2012) Semantic levels of domain-independent commonsense knowledgebase for visual indexing and retrieval applications. Neural Information Processing. Lecture Notes in Computer Science, 7663 . pp. 640-647. ISSN 0302-9743
• VisualNet: commonsense knowledgebase for video and image indexing and retrieval application 
  Alabdullah Altadmri, Amjad and Ahmed, Amr (2009) VisualNet: commonsense knowledgebase for video and image indexing and retrieval application. In: IEEE International Conference on Intelligent Computing and Intelligent Systems, 21-22 November 2009, Shanghai, China..
• Automatic semantic video annotation in wide domain videos based on similarity and commonsense knowledgebases 
  Altadmri, Amjad and Ahmed, Amr (2009) Automatic semantic video annotation in wide domain videos based on similarity and commonsense knowledgebases. In: The IEEE International Conference on Signal and Image Processing Applications (ICSIPA 2009), 18-19th November 2009, Malaysia.
• Video databases annotation enhancing using commonsense knowledgebases for indexing and retrieval 
  Altadmri, Amjad and Ahmed, Amr (2009) Video databases annotation enhancing using commonsense knowledgebases for indexing and retrieval. In: The 13th IASTED International Conference on Artificial Intelligence and Soft Computing., September 7 � 9, 2009, Palma de Mallorca, Spain..

 

Amjad has also participated, with Amr and other members of the DCAPI group,  in various workshops especially the V&L EPSRC Network workshops. They presented sessions and showed posters; see related blog posts:

 

• Two Presentations and Posters in the Vision & Language Network workshop (Dec. 2012, Sheffield) : http://amrahmed.blogs.lincoln.ac.uk/2012/12/22/two-presentations-and-posters-in-the-vision-language-network-workshop/

• V&L Network workshop, Brighton (September 2011):    http://amrahmed.blogs.lincoln.ac.uk/2011/09/19/vl-network-workshop-brighton/