Dr. Krishna Chandramouli received the PhD degree from Queen Mary, University of London. He is currently working in Queen Mary,
University of London as a research assistant. His research interests include biologically inspired optimisation techniques, machine learning,
semantic analysis and retrieval of multimedia content and summarisation of video content. He has published more than 30 technical papers
and reports in various international conferences and book chapters. He has actively participated in several EU funded projects including K-Space,
MESH, RUSHES and has been a key contributor to PAPYRUS, where he led the work package on Targeted Multimedia Content Analysis and
currently is coordinating a field trial in NoE PetaMedia project funded from FP7 programme.
Research Scope:
In the recent past, researchers have shown considerable interest in the area
of Biologically Inspired Systems, and are developing optimisation algorithms,
inspired Artificial Life (A-Life). These algorithms when applied to classical
optimisation problem has out performed state-of-the are algorithms. However,
such developments are poorly investigated in the area of Image Clustering and
Classification. Hence, this research concentrates on developing a framework
for implementing efficient and effective Image Clustering/Classification
algorithm using Particle Swarm Optimisation, developed by Eberhart and Kennedy.
Research Contribution:
Developed an integrated visual classification framework based on Self
Organising Maps.
The framework exploits the recent developments of Particle Swarm Optimisation
for optimal training of the network nodes of Self OrganisingMaps.
The framework is applied to extract the visual semantics of the
multimedia content and model human subjectivity for image retrieval.
Elementary principle of chaos is introduced to model the behaviour of
Particle Swarm Optimisation.
The textual information associated with multimedia documents is
identified as a rich source of complementary information for extracting
high-level semantics. And effective techniques has been proposed to combine
the results of textual and visual analysis.
An ontology driven video processing framework has been developed to
enable semantic retrieval of video data.
Research interests: Biologically inspired optimisation techniques,
machine learning, semantic retrieval of multimedia content, summarisation of media items,
object detection for surveillance applications, cultural adaptation of eLearning systems,
Knowledge representation of the user modelling and social semantic architectures.
C. Saathoff, K. Chandramouli, W. Bailer, P. Schallauer, R. Troncy, "Multimedia Annotation Tools", in Multimedia Semantics edited by Simon Schenk, Benoit Huet, Raphael Troncy, Wiley, 2010.
K. Chandramouli, E. Izquierdo, "Image Retrieval Using Particle Swarm Optimization" in Advances in Semantic Media Adaptation and Personalization, Volume 2 edited by Marios Angelides, Manolis Wallace, Phivos Mylonas, CRC Press publications, 2008.
Refereed Conference Papers
K. Chandramouli, K. Kliegr, T. Piatrik, and E. Izquierdo, "QMUL @ MediaEval 2010 Tagging Task: Semantic Query Expansion for Predicting User Tags", MediaEval Benchmarking Initiative, Pisa, Italy, 2010.
C. Stewart, T. Brailsford, K. Chandramouli, A. I. Cristea, "The CAE-L Cultural Framework: Definition, Instances and Web Service", IEEE 10th International Conference on Advances Learning Techniques (ICALT) 2010.
M. Moussa, Z. Kasap, N. Magnenat-Thalmann, K. Chandramouli, S. Mirza, Q. Zhang, E. Izquierdo, I. Biperis, P. Daras, "Towards an expressive virtual tutor: an implementation of a virtual turor based on an empirical study of non-verbal behaviour", in Proc. of ACM Workshop on Surreal Media and Virtual Cloning co-located with ACM Multimedia, Italy 2010.
T. Janjusevic, Q. Zhang, K. Chandramouli, E. Izquierdo, "Concept based interactive retrieval for social environment", in Proc. of ACM Workshop on Social, Adaptive and Personalised Multimedia Interaction and Access (SAPMIA) co-located with ACM Multimedia, Italy, 2010.
Krishna Chandramouli, Roberta Turra, Giorgio Pedrazzi, Foteini Tsaglioti, Vaso Aggelopoulou and Aristotle Tympas, "Integrating research into video and audio digitized archives into textual research: Examples from research on renewable energy", Researching the History of Technology in Europe, Making Contact with European Research in Historical Informatics: A Conversation between the TOE/IE and the "Papyrus" Research Agendas, 4th Tensions of Europe Plenary Conference & Closing ESF Inventing Europe Conference Sofia University, Bulgaria, 2010.
N. Sarris, V. Tountopoulos, K. Chandramouli, N. Kiyavitskaya, A. Katifori and R.Turra, "The Papyrus project: Discovering history in news", Electronic Imaging & the Visual Arts (EVA 2010), Florence, Italy, 2010.
K. Chandramouli, E. Izquierdo, "Semantic Structuring and Retrieval of Event Chapters in Social Photo Collections", ACM Multimedia Information Retrieval, 2010
K. Chandramouli1, T. Kliegr, V. Svatek, E. Izquierdo, "Towards Semantic Tagging in Collaborative Environments", 16th International Conference on Digital Signal Processing (DSP 2009), 2009.
K. Chandramouli, E. Izquierdo, "Multi-Class Relevance Feedback for Collaborative Image Retrieval", 10th International Workshop on Image Analysis and Multimedia Interactive Services (WIAMIS), 2009.
K. Chandramouli, E. Izquierdo, "Visual Highlight Detection using Particle Swarm Optimisation", Latin American Conference on Networked and Electronic Media, 2009.
V. Fernandez, K. Chandramouli, E. Izquierdo, "Semantic Object based Retrieval from Surveillance Videos", 4th International Workshop on Semantic Media Adaptation and Personalisation (SMAP), 2009
V.Fernandez, K. Chandramouli, E. Izquierdo, "Exploiting Complementary Resources for Cross-Discipline Multimedia Indexing and Retrieval", 1st International ICST Conference on User Centric Media, 2009.
T. Athanasiadis, N. Simou, G. Papadopoulos, R. Benmokhtar, K. Chandramouli, V. Tzouvaras, V. Mezaris, M. Phiniketos, Y. Avrithis, Y. Kompatsiaris, B. Huet, E. Izquierdo, "Integrating Image Segmentation and Classification for Fuzzy Knowledge-based Multimedia Indexing", International Multimedia Modelling Conference, January, 2009.
T. Kliegr, V. Svatek, K. Chandramouli, J. Nemrava, and E. Izquierdo, "Wikipedia as the Premiere Source for Targeted Hypernym Discovery," in Proc. Wikis, Blogs, Bookmarking Tools - Mining the Web 2.0 Workshop co-located at 18th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2008,
T. G. Papadopoulos, K. Chandramouli, V. Mezaris, I. Kompatsiaris, E. Izquierdo, and M. G. Strintzis, "'A Comparative Study of Classification Techniques for Knowledge-Assisted Image Analysis," in Proc. 9th International Workshop on Image Analysis for Multimedia Interactive services, 2008,
T. Kliegr, K. Chandramouli, J. Nemrava, V. Svatek, and E. Izquierdo, "Combining Textual Annotations And Visual Analysis for Image Classification," in Proc. MDM/KDD 2008 co-located with 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008,
C. Stewart, K. Chandramouli, A. Cristea, T. Brailsford, and E. Izquierdo, "Cultural Artefacts in Education: Analysis, Ontologies and Implementation," in Proc. IEEE International Conference on Information Technology in Education, 2008,
K. Chandramouli, T. Kliegr, J. Nemrava, V. Svatek, and E. Izquierdo, "Image Retrieval using Enhanced Query Processing and Visual Analysis," in Proc. 5th IET International Conference on Visual Information Engineering, 2008,
K. Chandramouli, C. Stewart, T. Brailsford, and E. Izquierdo, "CAE-L: An Ontology Modelling Cultural Behaviour in Adaptive Education," in Proc. 3rd IEEE International Workshop on Semantic Media Adaptation and Personalization, 2008,
E. Izquierdo, K. Chandramouli, M. Grzegorzek, and T. Piatrik, "K-Space Content Management and Retrieval System," in Proc. 14th International Conference on Image Analysis and Processing, 2007,
Q. Zhang, K. Chandramouli, U. Damnjanovic, T. Piatrik, E. Izquierdo, M. Corvaglia, N. Adami, R. Leonardi, G. Yakin, S. Aksoy, U. Naci, A. Hanjalic, S. Vrochidis, A. Moumtzidou, S. Nikolopoulos, V. Mezaris, L. Makris, I. Kompatsiaris, B. Mansencal, J. Benois-Pineau, E. Esen, A. A. Alatan, E. Spyrou, P. Kapsalas, G. Tolias, P. Mylonas, Y. Avrithis, B. Reljin, G. Zajic, A. M. G. Pinherio, L. A. Alexandre, P. Almeida, R. Jarina, M. Kuba, N. Aginako, and J. Goya, "The COST292 experimental framework for TRECVID 2007," in Proc. TRECVid 2007 - Text Retrieval Conference TRECVid Workshop, 2007,
Q. Zhang, K. Chandramouli, D. Djordjevic, L. Dong, M. Grzegorzek, E. Izquierdo, Multimedia, management annotation and retrieval at QMUL, MMKM Workshop: Multimedia Knowledge Management: Industry meets academia, 2007.
K. Chandramouli, "Particle Swarm Optimisation and Self Organising Maps based Image Classifier," Best paper award in Doctoral Consortium, in Proc. Second International Workshop on Semantic Media Adaptation and Personalization (SMAP 2007), 2007, pp. 225–228.
P. Wilkins, T. Adamek, P. Ferguson, M. Hughes, G. Jones, G. Keenan, K. McGuinness, J. Malobabic, N. O'Connor, D. Sadlier, A. F. Smeaton, R. Benmokhtar, E. Dumont, B. Huet, B. Merialdo, E. Spyrou, G. Koumoulos, Y. Avrithis, R. Moerzinger, P. Schallauer, W. Bailer, Q. Zhang, T. Piatrik, K. Chandramouli, E. Izquierdo, L. Goldmann, M. Haller, T. Sikora, P. Praks, J. Urban, X. Hilaire, and J. M. Jose, "K-Space at TRECVid 2006," in Proc. TRECVid 2006 - Text Retrieval Conference TRECVid Workshop, 2006,
T. Piatrik, K. Chandramouli, and E. Izquierdo, "Image Classification using Biologically Inspired Systems," in Proc. 2nd International Mobile Multimedia Communications Conference, 2006,
K. Chandramouli and E. Izquierdo, "Image Classification using Self Organizing Feature Maps and Particle Swarm Optimization," in Proc. 7th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '06), 2006,
K. Chandramouli, D. Djordjevic, and E. Izquierdo, "Binary Particle Swarm and Fuzzy Inference for Image Classification," in Proc. 3rd International Conference on Visual Information Engineering (VIE '06), 2006,
K. Chandramouli and E. Izquierdo, "Image Classification using Chaotic Particle Swarm Optimization," in Proc. International Conference on Image Processing (ICIP '06), 2006,
K. Chandramouli and B. Sankarshanan, "Field Interactive Robotic Entity (FIRE), Adaptive Learning of Environment Using Neural Networks, A VLSI Implementation," in Proc. 7th IEEE International Conference on Signal Processing (ICSP04), Sep. China, 2004,
Technical Reports
K. Chandramouli, T. Piatrik, T. Kliegr, J. Nemrava, and E. Izquierdo, "Final report on Biologically Inspired K-Space Classifiers," Queen Mary, University of London, 2008.
K. Chandramouli et al, "Report Specification of proposed implementation of implicit and explicit user relevance feedback", Technical report, Oct. 2007, 62 pages
K. Chandramouli, E. Izquierdo, "Biologically Inspired classifiers", in Technical Report on Ontology based Knowledge Assisted Multimedia Analysis, edited by V. Mezaris, pages 11, 2007.
K. Chandramouli, "Video Annotation using COMM", in Description of the stable Multimedia Ontology Infrastructure, edited by R. Arndt, pages. 10, 2007
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