Miroslaw Bober

Professor Miroslaw Bober


Biography

Biography

Professor of Video Processing BSc, MSc, PhD, MIEEE

Miroslaw Bober joined Surrey in 2011 as Professor of Video Processing. He is leading the Visual Media Analysis team within the Centre for Vision, Speech and Signal Processing (CVSSP).

Prior to his appointment at Surrey Prof Bober was the General Manager of the Mitsubishi Electric R&D Centre Europe (MERCE-UK), and the Head of Research for its Visual & Sensing Division. He was leading this European Corporate R&D centre for 15 years. His technical achievements were recognized in numerous awards, including the Presidential Award for strengthening the TV business in Japan via an innovative “Visual Navigation” content access technology (2010) and the prestigious Mitsubishi Best Invention Award for his Image Signature Technology (2008-one winner selected globally).

Prof Bober received a BSc and an MSc degree with distinction in electrical engineering from the AGH University of Science and Technology (Krakow, Poland) (1990), an MSc degree in Machine Intelligence (with distinction) from Surrey University (1991), and a PhD degree in computer vision from Surrey University (1995).

Miroslaw has published over 60 peer-reviewed publications and is the named inventor on over 80 unique patent applications. He has held over 30 research and industrial grants, with the value exceeding £16M. He is a member of the British Standards Institution (BSI) committee IST/37, responsible for UK contributions into MPEG and JPEG and represents UK in the area of image and video analysis and associated metadata. Prof Bober is chairing MPEG technical work on Compact Descriptors for Visual Search (CDVS - standard ISO/IEC FDIS 15938-13) and Compact Descriptors for Video Analysis (CDVA - work in progress).

Research interests

My research focuses on novel techniques in Signal Processing, Computer Vision and Machine Learning and their applications in industry, healthcare, big-data and security. I have a particular interest in image and video analysis & retrieval (visual search, object recognition, analysis of motion, shape & texture). The broad research objective is to develop unique methods and technology solutions for visual content understanding that can dramatically improve on existing state-of-the art leading to new applications. My algorithms for shape analysis and image/video fingerprinting as well as visual search are considered world-leading and were selected for ISO International standards within MPEG and used by, e.g. Metropolitan Police.

Teaching

  • EEE3034 - Media Casting (Module Coordinator)
  • EEE3029 - Multimedia Systems and Component Technology
  • EEEM001 - Image and Video Compression
  • EEE3035 - Engineering Professional Studies

Departmental duties

  • Programme Director for MSc in Multimedia Signal Processing and Communications
  • Industrial Tutor for undergraduate industrial placement year
  • Personal tutor for undergraduate students (L1, L2, L3, L4)
  • MSc-level tutor
  • Member of Faculty Research Degrees Committee (FRDC)
  • Member of the Departmental Industrial Advisory Board (IAB)

Affiliations

I have extensive collaboration links with universities and research institutions in Europe (UK, Switzerland, Germany, Poland, France, Spain), US, Japan and China. I have also worked with the following companies: the BBC (UK), Bang and Olufsen (DE), CEDEO (IT), Casio (JP), Ericsson (SE), Huawei (DE), Mitsubishi Electric (JP), RAI television (IT), Renesas Electronics (JP), Telecom Italia (IT), and Visual Atoms (UK).

Current Projects & Research Funding

I am the project coordinator and PI for the BRIDGET FP-7 project [5.28 M€], where my team is responsible for the development of ultra large-scale visual search and media analysis algorithms for the broadcast industry. The project aims to open new dimensions for multimedia content creation and consumption by bridging the gap between the Broadcast and Internet. Project partners include RAI television, Huawei, Telecom Italia and more.

CODAM is my latest project (PI) and is funded by the TSB creative media call [£1.05 M]. My team is working with the BBC and Visual Atoms to develop an advanced video asset management system with unique visual fingerprinting and visual search capabilities. It will aid content creation and deployment by enabling visual content tracking, identification and searching across multiple devices and platforms, and across diverse digital media ecosystems and markets. Where is the original version of the low-quality clip? Which video clip has been used most often in BBC programmes? Is it a stock shot of a red double decker bus, or an excerpt from a royal wedding? Is there other footage in the archive that shows the same event but can provide a fresh viewpoint? The CODAM system will answer these questions, track the origins of video clips across multi-platform productions and search for related material. It will take the form of a modular software system that can identify individual video clips in edited programmes, and perform object or scene recognition to find similar footage in an archive without relying on manually entered and often incomplete metadata.

My publications

Publications

Cieplinski L, Bober M (1997)Scalable image coding using Gaussian pyramid vector quantisation with resolution-independent block size, In: 1997 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I - Vpp. 2949-2952 I E E E, COMPUTER SOC PRESS
Price W, Atkinson J, Bober M (2000)The contour shape descriptor for MPEG-7 and its applications, In: IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - 2000 DIGEST OF TECHNICAL PAPERSpp. 286-287 IEEE
Bober Miroslaw, Kittler Josef (1994)Robust motion analysis, In: 1994 IEEE computer society conference on computer vision and pattern recognition, proceedingspp. 947-952 IEEE, Computer Soc Press
Zhang K, Bober M, Kittler J (1995)Motion based image segmentation for video coding, In: INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOLS I-IIIpp. C476-C479 I E E E, COMPUTER SOC PRESS
Kittler J, Zhang K, Bober M (1996)A hybrid codec for very low bit rate video coding, In: Delogne P (eds.), INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, PROCEEDINGS - VOL Ipp. 641-644 I E E E
Liu Daqi, Bober Miroslaw, Kittler Josef (2019)Visual Semantic Information Pursuit: A Survey, In: IEEE Transactions on Pattern Analysis and Machine Intelligence Institute of Electrical and Electronics Engineers (IEEE)
Paschalakis S, Iwamoto K, Sprljan N, Oami R, Nomura T, Yamada A, Bober M (2012)The MPEG-7 Video Signature Tools for Content Identification, In: IEEE Transactions on Circuits and Systems for Video Technology22(7)pp. 1050-1063 IEEE
Tirunagari Santosh, Poh Norman, Bober Miroslaw, Windridge David (2015)Windowed DMD as a microtexture descriptor for finger vein counter-spoofing in biometrics., In: WIFSpp. 1-6
ZHANG K, BOBER M, KITTLER J (1994)ROBUST MOTION ESTIMATION AND MULTISTAGE VECTOR QUANTISATION FOR SEQUENCE COMPRESSION, In: ICIP-94 - PROCEEDINGS, VOL IIpp. 452-456
Bober M, Asai K, Divakaran A (2001)A MPEG-4/7 based internet video and still image browsing system, In: Tescher AG, Vasudev B, Bove VM, (eds.), MULTIMEDIA SYSTEMS AND APPLICATIONS III4209pp. 33-38
Messina A, Burgos FM, Preda M, Lepsoy S, Bober M, Bertola D, Paschalakis S (2015)Making second screen sustainable in media production: The BRIDGET approach, In: TVX 2015 - Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Videopp. 155-160
Paschalakis S, Bober M (2003)A low cost FPGA system for high speed face detection and tracking, In: Proceedings - 2003 IEEE International Conference on Field-Programmable Technology, FPT 2003pp. 214-221
Frohlich David M., Corrigan-Kavanagh Emily, Bober Mirek, Yuan Haiyue, Sporea Radu, Le Borgne Brice, Scarles Caroline, Revill George, Van Duppen Jan, Brown Alan W., Beynon Megan (2019)The Cornwall a-book: An Augmented Travel Guide Using Next Generation Paper, In: The Journal of Electronic Publishing22(1) Michigan Publishing
Husain S, Bober M (2014)ROBUST AND SCALABLE AGGREGATION OF LOCAL FEATURES FOR ULTRA LARGE-SCALE RETRIEVAL, In: 2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)pp. 2799-2803 IEEE
Husain Syed Sameed, Bober Miroslaw (2016)On Aggregation of local binary descriptors, In: ICME MMC 2016 Proceedings
Sibiryakov A, Bober M (2006)Real-time multi-frame analysis of dominant translation, In: Tang YY, Wang SP, Lorette G, Yeung DS, Yan H, (eds.), 18th International Conference on Pattern Recognition, Vol 1, Proceedingspp. 55-58
ZHANG K, BOBER M, KITTLER J (1995)VARIABLE BLOCK SIZE VIDEO CODING WITH MOTION PREDICTION AND MOTION SEGMENTATION, In: Rodriguez AA, Safranek RJ, Delp EJ, (eds.), DIGITAL VIDEO COMPRESSION: ALGORITHMS AND TECHNOLOGIES 19952419pp. 62-70
Zhang K, Bober M, Kittler J (1996)Video coding using affine motion compensated prediction, In: 1996 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, CONFERENCE PROCEEDINGS, VOLS 1-6pp. 1978-1981
Bober M, Kittler J (1996)Combining the hough transform and multiresolution MRF's for the robust motion estimation, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)1035pp. 91-100
Bober MZ, Zaharia R Occupant monitoring apparatus
Brasnett P, Paschalakis S, Bober M (2010)RECENT DEVELOPMENTS ON STANDARDISATION OF MPEG-7 VISUAL SIGNATURE TOOLS, In: 2010 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME 2010)pp. 1347-1352
O'Callaghan R, Bober M (2005)MPEG-7 visual-temporal clustering for digital image collections, In: Lee GG, Yamada A, Meng H, Myaeng SH (eds.), INFORMATION RETRIEVAL TECHNOLOGY, PROCEEDINGS3689pp. 339-350 SPRINGER-VERLAG BERLIN
Brasnett P, Bober M (2008)Fast and Robust Image Identification, In: 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6pp. 871-875
Bober M, Brasnett P (2009)MPEG-7 VISUAL SIGNATURE TOOLS, In: ICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3pp. 1540-1543
Kucharski K, Skarbek W, Bober M (2005)Feature space reduction for face recognition with dual linear discriminant analysis, In: Gagalowicz A, Philips W (eds.), COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS3691pp. 587-595 SPRINGER-VERLAG BERLIN
Smith RS, Bober M, Windeatt T (2011)A comparison of random forest with ECOC-based classifiers, In: Lecture Notes in Computer Science: Multiple Classifier Systems6713pp. 207-216
Poh Norman, Wells Kevin, Bober Miroslaw, Gorden I, Windridge David, Tirunagari Santosh (2017)Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition, In: Machine Vision and Applications28(3-4)pp. 393-407 Springer Verlag
Lin J, Huang T, Gao W, Bober M, Wang Z, Duan L-Y (2014)COMPONENT HASHING OF VARIABLE-LENGTH BINARY AGGREGATED DESCRIPTORS FOR FAST IMAGE SEARCH, In: 2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)pp. 2217-2221 IEEE
PETROU M, BOBER M, KITTLER J (1994)MULTIRESOLUTION MOTION SEGMENTATION, In: PROCEEDINGS OF THE 12TH IAPR INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION - CONFERENCE A: COMPUTER VISION & IMAGE PROCESSINGpp. 379-383
Santamaria C, Bober M, Szajnowski W, Aso N (2004)Analysis of remotely-sensed imagery using the level-crossing statistics texture descriptor, In: Bruzzone L, (eds.), IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING X5573pp. 115-125
Sibiryakov A, Bober M (2007)Graph-based multiple panorama extraction from unordered image sets - art. no. 649809, In: Bouman CA, Miller EL, Pollak I, (eds.), Computational Imaging V6498pp. 49809-49809
Skarbek W, Kucharski K, Bober M (2004)Dual LDA for face recognition, In: Fundamenta Informaticae61(3-4)pp. 303-334
Santamaria C, Bober M, Szajnowski W (2004)Texture analysis using level-crossing statistics, In: Kittler J, Petrou M, Nixon M, (eds.), PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2pp. 712-715
Sibiryakov A, Bober M (2005)A method of statistical template matching and its application to face and facial feature detection, In: WSEAS Transactions on Information Science and Applications2(9)pp. 1285-1293
Bober M, Sibiryakov A (2007)Low-complexity motion analysis for mobile video devices, In: ICCE: 2007 DIGEST OF TECHNICAL PAPERS INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICSpp. 407-408
Sibiryakov A, Bober M (2006)Image registration using RST-clustering and its application in remote sensing - art. no. 63650G, In: Bruzzone L, (eds.), Image and Signal Processing for Remote Sensing XII6365pp. G3650-G3650
Husain S, Bober Miroslaw (2016)Improving large-scale image retrieval through robust aggregation of local descriptors, In: IEEE Transactions on Pattern Analysis and Machine Intelligence
Ong Eng-Jon, Husain Sameed, Bober-Irizar Mikel, Bober Miroslaw (2018)Deep Architectures and Ensembles for Semantic Video Classification, In: IEEE Transactions on Circuits and Systems for Video Technology Institute of Electrical and Electronics Engineers (IEEE)
Berriss WP, Price WG, Bober MZ (2003)The use of MPEG-7 for intelligent analysis and retrieval in video surveillance, In: IEE Colloquium (Digest)3-1006pp. 41-45
Bober M (2001)MPEG-7 visual shape descriptors, In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY11(6)pp. 716-719 IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Berriss WP, Price WG, Bober MZ (2002)< VISS >(TM): A video intelligent surveillance system, In: Divakaran A, Bove VM, Tescher AG, Vasudev B, (eds.), MULTIMEDIA SYSTEMS AND APPLICATIONS V4861pp. 13-21
Georgis N, Kittler J, Bober M (2000)Accurate recovery of dense depth map for 3D motion based coding, In: EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS11(2)pp. 219-232 ASSOC ELETTROTECNICA ED ELETTRONICA ITALIANA
Kucharski K, Skarbek W, Bober M (2005)Dual LDA - An effective feature space reduction method for face recognition, In: IEEE International Conference on Advanced Video and Signal Based Surveillance - Proceedings of AVSS 20052005pp. 336-341
Bober M, Georgis N, Kittler J (1998)On accurate and robust estimation of fundamental matrix, In: COMPUTER VISION AND IMAGE UNDERSTANDING72(1)pp. 39-53 ACADEMIC PRESS INC
Zhang K, Bober M, Kittler J (1997)Image sequence coding using multiple-level segmentation and affine motion estimation, In: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS15(9)pp. 1704-1713 IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Cordara G, Bober M, Reznik Y (2013)Special issue on visual search and augmented reality, In: SIGNAL PROCESSING-IMAGE COMMUNICATION28(4)pp. 309-310 ELSEVIER SCIENCE BV
Bober M (1999)Motion analysis for video coding and retrieval, In: IEE Colloquium (Digest)(103)pp. 51-56
Paschalakis S, Wnukowicz K, Bober M (2011)Low-Cost Hierarchical Video Segmentation for Consumer Electronics Applications, In: IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE 2011)pp. 79-80
Bober M, Kucharski K, Skarbek W (2003)Face recognition by Fisher and scatter linear discriminant analysis, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)2756pp. 638-645
Ravi D, Bober M, Farinella GM, Guarnera M, Battiato S (2016)Semantic segmentation of images exploiting DCT based features and random forest, In: Pattern Recognition52pp. 260-273
Badenas J, Bober M, Pla F (2001)Segmenting traffic scenes from grey level and motion information, In: PATTERN ANALYSIS AND APPLICATIONS4(1)pp. 28-38 SPRINGER-VERLAG
Bober M, Petrou M, Kittler J (1998)Nonlinear motion estimation using the supercoupling approach, In: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE20(5)pp. 550-555 IEEE COMPUTER SOC
Paschalakis S, Bober M (2004)Real-time face detection and tracking for mobile videoconferencing, In: REAL-TIME IMAGING10(2)pp. 81-94 ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
Ghanbari S, Cieplinski L, Bober MZ (2003)Recovery of lost motion vectors for error concealment in video coding, In: Picture Coding Symposiumpp. 239-242
Bober MZ, Preteux F, W-Y Kim (2002)Shape Descriptors, In: Manjunath BS, Salembier P, Sikora T (eds.), Introduction to MPEG-7 John Wiley & Sons Inc
Pla F, Bober M (1997)Estimating translation/deformation motion through phase correlation, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)1310pp. 653-660
Paschalakis S, Lee P, Bober M (2003)An FPGA system for the high speed extraction, normalization and classification of moment descriptors, In: Cheung PYK, Constantinides GA, DeSousa JT (eds.), FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS, PROCEEDINGS2778pp. 543-552 SPRINGER-VERLAG BERLIN
Husain Syed Sameed, Bober Miroslaw (2019)REMAP: Multi-layer entropy-guided pooling of dense CNN features for image retrieval, In: IEEE Transactions on Image Processingpp. 1-1 Institute of Electrical and Electronics Engineers (IEEE)
Ong E, Bober M (2016)Improved Hamming Distance Search using Variable Length Substrings, In: 2016 IEEE Conference on Computer Vision and Pattern Recognitionpp. 2000-2008
Husain Syed, Bober Miroslaw (2014)Robust and scalable aggregation of local features for ultra large-scale retrieval, In: Image Processing (ICIP), 2014 IEEE International Conference onpp. 2799-2803
Bober MZ, Szajnowski W Image Analysis and representation
Windridge D, Bober M (2014)A Kernel-Based Framework for Medical Big-Data Analytics, In: Holzinger A, Jurisica I (eds.), Interactive Knowledge Discovery and Data Mining in Biomedical Informatics8401pp. 197-208 Springer Berlin Heidelberg
Bober MZ, Paschalakis S, Brasnett P Video Identification
Bober M (2001)MPEG-7: Evolution or revolution?, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)2124pp. 1-?
Kittler J, Bober M (1996)Video coding for mobile communications - MPEG4 perspective, In: IEE Colloquium (Digest)(248)
Bober Miroslaw, Kittler Josef (1994)Estimation of complex multimodal motion - an approach based on robust statistics and hough transform, In: Image and vision computing12(10)pp. 661-668 Elsevier
Kittler J, Matas J, Bober M, Nguyen L (1995)Image interpretation: exploiting multiple cues, In: IEE Conference Publication(410)pp. 1-5
Badenas J, Bober M, Pla F (1997)Motion and intensity-based segmentation and its application to traffice monitoring, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)1310pp. 502-509