The Lab has extensive experience and expertise in developing algorithms for video and image processing and understanding (e.g., video pre-processing, video content analysis, video segmentation, video classification, video content representation), algorithms for multimedia information management and retrieval (e.g., multimedia processing and analysis for content understanding, information fusion, content-based multimedia indexing and retrieval, retrieval result diversification techniques, multimedia representation and interaction, relevance feedback for retrieval, social multimedia processing and analysis, multimedia benchmarking), algorithms for intelligent video surveillance (e.g., video processing and analysis for content understanding from various sensors, advanced spatio-temporal video content description, content-based video indexing and retrieval, action recognition in video, intelligent machine learning-based object recognition, video content classification, video content summarization), and algorithms for multimedia machine learning based decision support systems (e.g., multimedia content representation for machine learning, advanced machine learning, advanced deep learning, design of application dependent decision support systems and benchmarking).



May 2017: start of the project SPIA-VA, owner University Politehnica of Bucharest, partners UTI Grup, Romanian Ministry of National Defence — Military Equipment and Technologies Research Agency, funded by UEFISCDI, Solutions Axis, grant 2SOL/2017, with the objectives: (1) development of a system for automatic person re-identification; (2) development of a system for automatic detection of the dissimulated behavior; (3) development of a system for automatic analysis of Romanian spoken language which would allow lipreading and voice-to-text.
January 2017: start of the project SPOTTER, owner University „Politehnica” of Bucharest, partner UTI Grup, funded by UEFISCDI, PED Axis, grant 30PED/2017, with the objectives: (1) development of advanced DROP retrieving algorithms running on low resources embedded hardware platforms; (2) development of techniques for real-time identification and tracking capabilities from multiple video sources; (3) development of techniques for algorithms which can dynamically adjust the running parameters according to task variables.
October 2016: start of the project Erasmus+ CBHE, UMETECH “University & Media Technology for Cultural Heritage“, owner University of Florence, Italy, partner University „Politehnica” of Bucharest, with the objectives to design and implement: (1) a number of Competence Centers on ICT for Cultural Heritage, located at the Jesuit reductions in Perù, Argentina and Paraguay and managed by LA universities; (2) a program of know how transfer from EU universities to LA universities on a few strategic topics: smart computing, 3D, Big Data and human-machine interaction; (3) a program of innovation projects to be developed at the Competence Centers with the joint participation of LA and EU partners and local stakeholders; (4) a number of self-entrepreneurship labs for LA HEIs.