@phdthesis{Koubaroulis-PhD2001,
  key =         {Koubaroulis-PhD2001},
  school = {University of Surrey},
  author =      {D. Koubaroulis},
  title =       {The Multimodal Neighbourhood Signature for Modelling Object Appearance and Applications in Computer Vision},
  year =        {2001},
  month =       {October},
  day =         {4},
  keywords =    {Multimodal Neighbourhood Signature, Colour recognition, Image retrieval , Video Annotation, Object Localisation },
  psurl = {[PDF]}, 
  summary = {In a broad sense, visual recognition is defined as the task of
             determining the presence of one or more objects (or object 
             categories) in images. There are a number of computer vision 
             applications which, one way or another,  involve recognition 
             such as (traditional) object recognition, object-based image 
             retrieval and object-based video annotation. Our objective is
             to develop a general-purpose colour-based recognition system, 
             which is useful for the above applications both as a standalone 
             system and as a component of an integrated system which might
             exploit -- apart from colour -- other visual and/or non-visual
             information for recognition.  

             Recognition is model-based; the presence of a specific object 
             in the scene is determined by comparing a representation of the 
             object (called the object model) with image measurements. We take
             an appearance-based (or example-based) approach.  The object 
             model is derived automatically from a few -- sometimes a single --
             image(s) of the object; a realistic assumption in many appli-
             cations.

             In this thesis, a novel representation of local object colour 
             structure is proposed, called the Multimodal Neighbourhood 
             Signature (MNS). Our approach is based on the observation that
             many objects can be detected in a possibly complex scene without 
             extreme effort, regardless of the area occupied by the visible
             parts of the objects. Local appearance is described by stable 
             features computed from robustly filtered colour values. Neither 
             prior segmentation nor edge detection is required. We develop  
             prototype systems for object-based recognition, retrieval and 
             annotation as well as a method for object localisation.

             A number of working recognition systems have been proposed in 
             the literature. However, most methods present results using 
             carefully selected images suitable for their application, a fact
             that makes comparison difficult. In this work, the implemented 
             algorithm, with its default algorithmic settings, is evaluated 
             using a number of (publicly available) data sets, representing a
             variety of applications. Good performance in trademark, adver-
             tisment and video retrieval as well as sport video annotation is
             reported. For performance evaluation, a number of colour-based 
             object recognition and image retrieval methods are reviewed and
             compared. Very promising results are presented for recognition of
             objects in cluttered scenes, in the presence of partial occlusion
             and appearance variations due to changes in viewpoint, illumina-
             tion, scale and image resolution.  },
}



@InProceedings{Matas-CPRW2000,
  key =         {Matas-CPRW2000},
  author =      {Matas, J. and Koubaroulis, D. and Kittler, J.},
  title =       {Performance Evaluation of the Multi-modal Neighbourhood
        Signature Method for Colour Object Recognition},
  year =        {2000},
  pages =       {27--34},
  booktitle =   {Proceedings of the Czech Pattern Recognition Workshop},
  editor =      {Svoboda, Tom{\'a}{\v s}},
  publisher =   {Czech Society for Pattern Recognition},
  address =     {Prague, Czech Republic},
  isbn =        {80-238-5215-9},
  book_pages =  {191},
  month =       {February},
  day =         {2--4},
  venue =       {Center for Machine Perception, Per{\v s}l{\'a}k, Czech Republic},
  keywords =    { },
  psurl =  {[PDF .uk] [PDF .cz]},
  project =     { VS96049 },
}



InProceedings{Christmas-IR01,
author = {W. Christmas and J. Kittler and D. Koubaroulis and B. Levienaise-Obadia and K. Messer},
title = {Generation of Semantic Cues for Sports Video Annotation},
booktitle = {International Workshop on Information Retrieval, Oulu,
Finland},
pages = {171--178},
year = {2001},
month = {September 19-21}
}



@InProceedings{Kittler-ICIP01,
    author    = {J. Kittler and K. Messer and W. Christmas and B Levienaise-Obadia and D. Koubaroulis},
    title     = { Generation of semantic cues for sports video
annotation},
    booktitle = {Proceedings of the 2001 International Conference on Image
Processing (ICIP 2001 ), Thessaloniki, Greece},
    year      = {2001},
    month     = {7-10 October},
    pages     = {26-29},
    volume    = {},
}



@InProceedings{Koubaroulis-CIR00,
  key =         {Koubaroulis-CIR00},
  author =      {Koubaroulis, D. and Matas, J. and Kittler, J.},
  title =       {Colour-based Image Retrieval from Video Sequences},
  year =        {2000},
  pages =       {1--12},
  booktitle =   {Proceedings of the CIR2000, Third UK Conference on Image Retrieval},
  editor =      {Eakins, John P and Enser, Peter G B},
  publisher =   {University of Brighton},
  address =     {Brighton, UK},
  isbn =        { none },
  book_pages =  {150},
  month =       {May},
  day =         {3--4},
  venue =       {Old Ship Hotel, Brighton, UK},
  keywords =    { },
  psurl =  { [PS .uk]  [PS .cz]},
  project =     { VS96049, EPSRC },
}


@InProceedings{Koubaroulis-ICPR00,
  key =         {Koubaroulis-ICPR00},
  author =      {Koubaroulis, D. and Matas, J. and Kittler, J.},
  title =       {The Multimodal Signature Method: An Efficiency and
								 Sensitivity Study},
  year =        {2000},
  pages =       {379--382},
  booktitle   = { Proceedings of the 15th ICPR },
	volume      = { 3 } ,
  editor =      {Sanfeliu, A  and Villanueva, J J and Vanrell, M and
								 Alqueraz, R and Huang, T and Serra, J},
  Publisher  =  {IEEE Computer Soc Press},
  address =     {Los Alamitos, USA},
  isbn =        {0 7695 0750 6},
  book_pages =  {1165},
  month =       {September},
  day =         {3--7},
  venue =       {Barcelona, Spain},
  keywords =    { },
  project =    { VS96049 },
}



@InProceedings{Matas-ECCV00,
  key =         {Matas-ECCV00},
  author =      {Matas, J. and Koubaroulis, D. and Kittler, J.},
  title =       {Colour Image Retrieval and Object Recognition Using the
                 Multimodal Neighbourhood Signature},
  year =        {2000},
  pages =       {48--64},
  booktitle =   { Proceedings of the European Conference on Computer Vision},
  editor =      { D. Vernon },
  publisher =   { Springer},
  address     = { Berlin, Germany},
  isbn =        { 3-540-67685-6 },
	series     =  { LNCS vol. 1842 },
	book_pages =  { 950 },
  month =       {June},
  day =         {26--30},
  venue =       {Dublin, Ireland},
  keywords =    { colour, recognition  },
  psurl =  {[PS .uk] [PS .cz]},
  project =     { VS96049, Digital VCE, EPSRC },
}


@InProceedings{Koubaroulis-ACCV02,
  key =         {Koubaroulis-ACCV02},
  author =      {Koubaroulis, D. and Matas, J. and Kittler, J.},
  title =       {Evaluating Colour-Based Object Recognition Algorithms Using the SOIL-47 Database},
  year =        {2002},
  pages =       {to appear},
  booktitle =   { Proceedings of the 5th Asian Conference on Computer Vision},
  editor =      {  },
  publisher =   {  },
  address     = {  },
  isbn =        {  },
	series     =  {  },
	book_pages =  {  },
  month =       {January},
  day =         {23--25},
  venue =       {Melbourne, Australia},
  keywords =    { colour, recognition, multimodal neighbourhood signature, evaluation, SOIL-47  },
  psurl =  { },
  project =     { ASSAVID},
}



@InProceedings{Koubaroulis-EUSIPCO2000,
  key =      {Koubaroulis-EUSIPCO2000},
  author =   {Koubaroulis, D. and Matas, J. and Kittler, J.},
  title =    {Illumination Invariant Object Recognition Using the MNS Method},
  year =       {2000},
  pages =      {2173-2176},
  booktitle =  {Proceedings of the 10th European Signal Processing Conference},
  editor =     {Gabbouj, M. and Kuosmanen, P.},
  publisher =  {Tampere University of Technology},
  address =    {Tampere, Finland},
  isbn =       {952-15-0443-9},
  book_pages = {2557},
  month =      {September},
  day =        {4--8},
  venue =      {Tampere Hall, Tampere, Finland},
  keywords =   {object recognition, multimodal neighbourhood signature,
MNS, illumination invariance},
  psurl =  { [PDF .uk]  [PDF .cz]},
  project =    { VS96049, EC IST-13082 ASSAVID },
 }

Dimitrios Koubaroulis
Last modified: Fri Dec 7 10:15:57 GMT 2001