[J35] A. S. Nigru, S. Benini, M. Bonetti, G. Bragaglio, M. Frigerio, F. Maffezzoni, and R. Leonardi, "External Validation of SpineNetV2 on a Comprehensive Set of Radiological Features for Grading Lumbosacral Disc Pathologies", in North American Spine Society Journal (NASSJ), 2024.

[C42] M. Gohari, P. Bestagini, S. Benini, and N. Adami, "Spectrogram-Based Detection of Auto-Tuned Vocals in Music Recordings'', in 16th IEEE International Workshop on Information Forensics and Security (WIFS), Rome, Italy, December 2-5,  2024.

[C41] M. Zanardelli, M. Gohari, R. Leonardi, S. Benini, and N. Adami, "PINN-based Approach for Robust 3D Light Direction Estimation in Outdoor Images", in 21st International Conference on Content-based Multimedia Indexing (CBMI 2024), Reykjavik, Iceland, September 18-20, 2024. 

[J34] M. Zanardelli, M. G. Moghaddam, R. Leonardi, S. Benini, and N. Adami, "SynthOutdoor: a synthetic dataset for 3D outdoor light estimation", in Data in Brief, Volume 44, 110700, August 2024. 

[J33] M. Svanera, M. Savardi, A. Signoroni, S. Benini*, and L. Muckli*, "Fighting the scanner effect in brain segmentation with a progressive level-of-detail network trained on multi-site data", in Medical Image Analysis 93, 103090, January 2024 (*shared last authorship). 

[J32] M. Savardi, A. B. Kovács, A. Signoroni, and S. Benini, "CineScale2: a dataset of cinematic camera features in movies", in Data in Brief, Volume 51, 109627, October 2023.

[C40] M. Lanzini, N. Adami, S. Benini, I. Ferretti, G. Schieppati, C. Spoto, and S. Zanoni, "Implementation and Integration of a Digital Twin for Production Planning in Manufacturing", in 20th International Multidisciplinary Modeling & Simulation Multiconference, 35th European Modeling & Simulation Symposium (EMSS 2023), Athen, Greece, September 18-20, 2023. (Best paper award)

[P16] D. Ferrari, M. Savardi, A. Fracasso, L. Muckli, S. Benini, A. Signoroni, and M. Svanera, "DeepThickness: A Deep Learning Method for Brain MRI Cortical Thickness Estimation", in Annual Meeting of the Organization for Human Brain Mapping (OHBM 2023), Montreal, Canada, 22-26 July 2023.

[C39] M. Savardi, A. B. Kovács, A. Signoroni, and S. Benini, "Recognition of Camera Angle and Camera Level in Movies from Single Frames", in ACM IMX 2023 Joint Workshop on ``Intelligent Cinematography and Editing'' and ``Emotions in Movies'' (WICED x Cinemotions), Nantes, France, 12-15 June, 2023.

[P15] D. Ferrari, M. Savardi, A. Fracasso, L. Muckli, S. Benini, A. Signoroni, and M. Svanera, "DeepThickness: A Deep Learning Method for Brain MRI Cortical Thickness Estimation", in 2023 SINAPSE Annual Scientific Meeting, Glasgow, UK, 14 June 2023.

[C38] A. Signoroni, M. Savardi, D. Farina, S. Benini, E. Coppola, D. Ferrari, M. Massussi, S. Curello, M. Svanera, and G. D'Ancona, "Medical image interpretation challenges and research activities of the tAImedIA group at UniBS", Proceedings of the Italia Intelligenza Artificiale, pp. 118-123 - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023), Pisa, Italy, May 29-30, 2023.

[P14] D. Ferrari, M. Savardi, A. Fracasso, L. Muckli, S. Benini, A. Signoroni, and M. Svanera, "DeepThickness: A Deep Learning Method for Brain MRI Cortical Thickness Estimation", in Human Brain Project Summit 2023, Marseille, France, 28-31 March 2023.

[J31] S. Benini, M. Savardi, K. Bálint, A. B. Kovács, and A. Signoroni, "On the influence of shot scale on film mood and narrative engagement in film viewers", in IEEE Transactions on Affective Computing, vol. 13, no. 2, pp. 592-603, 1 April-June 2022, doi: 10.1109/TAFFC.2019.2939251. (IF: 10.807) 

[C37] G. Gualandris, M. Savardi, A. Signoroni, and S. Benini, "Automatic indexing of virtual camera features from Japanese anime", in ICIAP Image Analysis and Processing 2022 Workshops, FAPER Fine Art Pattern Extraction and Recognition, Lecce IT, 23 May 2022, Lecture Notes in Computer Science, vol 13373, pp 186-197, Springer, Cham. 2022.

[P13] M. Svanera, M. Savardi, S. Benini, A. Signoroni, and L. Muckli, "Fighting the Scanner Effect: a Coarse-to-Fine 3D Network for Multi-Site Brain MRI Segmentation", in Annual Meeting of the Organization for Human Brain Mapping (OHBM 2022), Glasgow, UK, 19-23 June 2022.

[P12] T. Lankhuizen, K. Balint, E. Konijn, M. Savardi, and S. Benini, "The Influence of Form on Viewer Empathy in Relation to Depictions of Suffering and Type of Scene Progression of Hollywood Film Scenes", in hybrid 72nd Annual ICA Conference, One World, One Network?, Paris, France, 26-30 May 2022.

[P11] A. E. Gerevini, A. Signoroni, S. Benini, M. Chiari, D. Farina, R. Maroldi, M. Olivato, L. Putelli, M. Savardi, and I. Serina, "Sistemi di Intelligenza Artificiale per la Prognosi di Pazienti COVID-19, l'Analisi di Immagini Radiologiche e l'Interpretazione di Referti in Linguaggio Naturale",  Workshop AI per la Medicina e la Salute, Italia Intelligenza Artificiale - Thematic Workshops co-located with the 2nd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2022), Pisa, Italy, February 10, 2022.

[J30] K. Khan, R.U. Khan, R. Leonardi, P. Migliorati,  and S. Benini, "Head Pose Estimation: a Survey of the Last Ten Years", in Signal Processing: Image Communication, vol. 99, November 2021. 

[P10] M. Svanera, S. Benini, D. Bontempi, and L. Muckli, "CEREBRUM-7T: Fast and Fully-volumetric  Brain Segmentation of 7 Tesla MR Volumes", in Human Brain Project Summit 2021, online event, 12-15 October 2021.

[J29] M. Svanera, S. Benini, D. Bontempi, and L. Muckli, "CEREBRUM-7T: Fast and Fully-volumetric  Brain Segmentation of 7 Tesla MR Volumes", in Human Brain Mapping,  Volume 42, Issue 17, December 1, 2021, Pages 5563-5580, October 2021. (IF: 5.399)

[J28] G. Daniels, S. Tamburic, S. Benini, J. Randall, T. Sanderson, and M. Savardi, "Artificial Intelligence in Hair Research: a Proof-of-Concept Study on Evaluating Hair Assembly Features", in International Journal of Cosmetic Science, Volume 43, Issue 4,  pp. 405--418, August 2021. 

[C36] N. Federici, D. Pau, N. Adami, and S. Benini, "Tiny Reservoir Computing for Extreme Learning of Motor Control", in virtual International Joint Conference on Neural Networks (IJCNN 2021), 18-22 July, 2021.

[J27] A. Signoroni, M. Savardi, S. Benini, N. Adami, R. Leonardi, P. Gibellini, F. Vaccher, M. Ravanelli, A. Borghesi, R. Maroldi, and D. Farina,  "BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset", in Medical Image Analysis, Volume 71, July 2021. 

[J26] M. Savardi, A. B. Kovács, A. Signoroni, and S. Benini, "CineScale: a dataset of cinematic shot scale in movies", in Data in Brief, Volume 36, June 2021. 

[P09] G. Daniels, S. Tamburic, S. Benini, M. Savardi, J. Randall, and T. Sanderson, "Artificial Intelligence for Assessing Hair Assembly Features", in TRI’s 9th International Conference on Applied Hair Science, June 7-11, 2021. 

[P08] T. Lankhuizen, K. Balint, E. Konijn, S. Benini, M. Savardi, and A. Bartsch, "The Influence of Formal Features in Popular Film on Audience Empathy", in virtual 71st Annual ICA Conference, Engaging the Essential Work of Care: Communication, Connectedness, and Social Justice, 27-31 May 2021. (poster)

[J25] S. Benini, M.D. Ivanović, M. Savardi, J. Krsić, L. Hadžievski, and Fabio Baronio, "ECG waveform dataset for predicting defibrillation outcome in out-of-hospital cardiac arrested patients", in Data in Brief, volume 34, 106635, February 2021. 

[J24] T. Lankhuizen, K. E. Bálint, M. Savardi, E. A. Konijn, and S. Benini, "Shaping Film: A Quantitative Formal Analysis of Contemporary Empathy-eliciting Hollywood Cinema", in Journal of Aesthetics, Creativity, and the Arts, 2020. 

[J23] M. Savardi, G. Daniels,  S. Tamburic, U. R. Muhammad, and S. Benini, "Figaro-tresses: a dataset for evaluating hair assembly features before and after cosmetic treatment", in Data in Brief, vol. 31, August 2020. 

[P07] G. Daniels, S. Tamburic,  S. Benini, M. Savardi, J. Randall, T. Sanderson, "Artificial intelligence and sensory assessment of hair assembly features: a combined approach", in 31st International Federation of Societies of Cosmetic Chemists Congress (IFSCC 2020), Yokohama, Japan, October 20-23, 2020. 

[J22] D. Bontempi, S. Benini, A. Signoroni, M. Svanera, L. Muckli, "CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI", in Medical Image Analysis, Volume 62, May 2020. 

[P06] M. Svanera, S. Benini, D. Bontempi, A. Fracasso, L. Muckli, "Fast brain segmentation of out-of-the-scanner MR 7T volumes using deep learning", in Annual Meeting of the Organization for Human Brain Mapping (OHBM 2020), Montreal, Canada, June 26-30, 2020. 

[J21] G. Raz, G. Valente, M. Svanera, S. Benini, and A. B. Kovács, "A Robust Neural Fingerprint of Cinematic Shot-Scale", in Projections, The Journal for Movies and Mind, vol. 13, no. 3, pp. 23-52, December 1, 2019. 

[J20] M. Svanera, M. Savardi, S. Benini, A. Signoroni, G. Raz, T. Hendler, L. Muckli, R. Goebel, G. Valente, "Transfer learning of deep neural network representations for fMRI decoding", in Journal of Neuroscience Methods, vol. 328, 108319, ISSN 0165-0270, 2019. (IF: 2.345) 

[J19] M. Svanera, M. Savardi, A. Signoroni, A. B. Kovács, and S. Benini, "Who is the film’s director? Authorship recognition based on shot features" in IEEE MultiMedia, vol. 26, no. 4, pp. 43-54, Oct-Dec 2019. (IF: 3.776) 

[P05] D. Bontempi, S. Benini, A. Signoroni, M. Svanera, and L. Muckli, "Fast Brain MRI Segmentation Using a Volumetric Deep Learning Approach", in 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany, September 13-16, 2019.  

[P04] K.E. Bálint, Y. Huang, M. Savardi, and S. Benini, "The role of audio-visual features in emotional and empathic responses to movies", in Conference of the International Society of Research of Emotion, Amsterdam, The Netherlands, July 10-13, 2019. 

[P03] D. Bontempi, S. Benini, A. Signoroni, M. Svanera, and L. Muckli, "A Fully Volumetric Deep Learning Approach to MRI Brain Segmentation", in 2019 SINAPSE Annual Scientific Meeting, Dundee, UK, June 21, 2019.  

[P02] K.E. Bálint, Y. Huang, M. Savardi, and S. Benini, "The Effect of Formal Features on Empathy and Continuous Emotional Responses in Viewers of Different Film Genres", in Conference of the Society of the Cognitive Studies of the Moving Image, Hamburg, Germany, June 12-15, 2019. 

[J18] A. Signoroni, M. Savardi, A. Baronio, and S. Benini, "Deep Learning meets Hyperspectral Image Analysis: a multidisciplinary review", in Journal of Imaging, 5(5): 52, May 2019. 

[J17] S. Benini, K. Khan, R. Leonardi, M. Mauro, P. Migliorati, "FASSEG: a FAce Semantic SEGmentation repository for face image analysis", in Data in Brief, vol. 24, March 2019.

[J16] S. Benini, K. Khan, R. Leonardi, M. Mauro, P. Migliorati, "Face analysis through semantic face segmentation", in Signal Processing: Image Communication, vol. 74, pp. 21-31, May 2019. (IF: 3.979)

[C35] M. Savardi, A. Signoroni, P. Migliorati, S. Benini, "Shot scale analysis in movies by convolutional neural networks", in Proceedings of the IEEE International Conference on Image Processing (ICIP 2018), Athens, Greece, October 7-10, 2018.

[C34] M. Savardi, S. Benini, A. Signoroni, "𝛽-hemolysis detection on cultured blood agar plates by convolutional neural networks", in Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain, September 16-20, 2018.

[J15] U. R. Muhammad, M. Svanera, R. Leonardi, and  S. Benini, "Hair detection, segmentation, and hairstyle classification in the wild", in Image and Vision Computing, vol. 71, pp.  25–37, March 2018. (IF: 3.848) 

[J14] G. Raz, M. Svanera; N. Singer, G. Gilam, M. Bleich Cohen, T. Lin, R. Admon, T. Gonen, A. Thaler, R. Y. Granot, R. Goebel, S. Benini, G. Valente, "Robust inter-subject audiovisual decoding in functional magnetic resonance imaging using high-dimensional regression", in Neuroimage, vol. 163, pp. 244-263, December 2017. (IF: 5.699)

[J13] F. Guerrini, N. Adami, S. Benini, A. Piacenza, J. Porteous, M. Cavazza, R. Leonardi, "Interactive Film Recombination”, in ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. 13, issue 4, August 2017. (IF: 2.838).

[C33] M. Mauro, S. Benini, N. Adami, A. Signoroni, R. Leonardi, L. Canini, "A free Web API for single and multi-document summarization", in Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing (CBMI 2017), Florence, Italy, June 19-21, 2017.

[C32] S. Benini, "Movies and meaning: from low-level features to mind reading", (invited) in Proceedings of Electronic Imaging, Human Vision and Electronic Imaging 2017 (HVEI 2017), pp. 46-57(12) , Burlingame, CA, USA, January 29-February 2, 2017.

[C31] M. Svanera, S. Benini, G. Raz, T. Hendler, R. Goebel, and G. Valente, "Deep driven fMRI decoding of visual categories", in NIPS Workshop on Representation Learning in Artificial and Biological Neural Networks (MLINI 2016), Barcelona, Spain, December 9, 2016. 

[C30] M. Svanera, U. R. Muhammad, R. Leonardi and S. Benini, "Figaro, hair detection and segmentation in the wild", in Proceedings of the IEEE International Conference on Image Processing (ICIP 2016), Phoenix, Arizona, USA, September 25-28, 2016. 

[P01] G. Raz, M. Svanera, M.B. Cohen, A. Thaler, R. Göbel, T. Hendler, S. Benini, and G. Valente, "Robust inter-subject audiovisual decoding in fMRI using kernel ridge regression", in 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM 2016), Geneva, Switzerland, June 26-30, 2016.

[J12]  S. Benini, M. Svanera, N. Adami, R. Leonardi, and A. B. Kovács, “Shot scale distribution in art films,” Multimedia Tools and Applications, vol. 75, p. 16499-16527, 2016. (IF: 1.422) 

[J11]  A. Gordiychuk, M. Svanera, S. Benini, and P. Poesio, “Size distribution and sauter mean diameter of micro bubbles for a venturi type bubble generator,” Experimental Thermal and Fluid Science, vol. 70, pp. 51 – 60, 2016. (IF: 3.248) 

[C29]  M. Svanera, S. Benini, N. Adami, R. Leonardi, and A. B. Kovács, “Over-the-shoulder shot detection in art films,” in Proceedings of the 13th International Workshop on Content-Based Multimedia Indexing (CBMI 2015), Prague, Czech Republic, June 10-12, 2015.

[C28]  F. Pedersoli, S. Benini, N. Adami, M. Okuda, and R. Leonardi, “Subpatch: Random kd-tree on a sub-sampled patch set for nearest neighbor field estimation,” in Proc. SPIE, Seventh International Conference on Machine Vision (ICMV 2014), Milan, Italy, Nov 2014. (Best oral presentation). 

[J10]  F. Pedersoli, S. Benini, N. Adami, and R. Leonardi, “Xkin: an open source framework for hand pose and gesture recognition using kinect,” The Visual Computer, vol. 30, no. 10, pp. 1107–1122, 2014. (IF: 1.593)

[J09]  N. Adami, S. Benini, A. Boschetti, L. Canini, F. Maione, and M. Temporin, “Markers of unsustainable gambling for early detection of at-risk online gamblers,” International Gambling Studies, vol. 13, no. 2, pp. 188–204, 2013. (IF: 1.383) 

[J08]  L. Canini, S. Benini, and R. Leonardi, “Affective recommendation of movies based on selected connotative features,” Circuits and Systems for Video Technology, IEEE Transactions on, vol. 23, no. 4, pp. 636–647, 2013. (IF: 5.268) 

[J07]  L. Canini, S. Benini, and R. Leonardi, “Classifying cinematographic shot types,” Multimedia Tools and Applications, vol. 62, pp. 51–73, 2013. (IF: 1.620) 

[C27]  F. Pedersoli, N. Adami, S. Benini, and R. Leonardi, “XKin - eXtendable hand pose and gesture recognition library for Kinect,” in Proceedings of ACM Conference on Multimedia 2012 (ACM MM 2012), Oct. 29 – Nov. 2 2012. 

[C26]  N. Adami, S. Benini, and R. Leonardi, “Text driven recognition of multiple faces in newspapers,” in Proceedings of the Fourth International Conferences on Advances in Multimedia (MMEDIA 2012), April 29 – May 4 2012. (Best oral presentation). 

[J06]  S. Benini, L. Canini, and R. Leonardi, “A connotative space for supporting movie affective recommendation,” IEEE Transactions on Multimedia, vol. 13, no. 6, pp. 1356–1370, 2011. (IF: 4.050) 

[C25]  S. Benini and R. Leonardi, “Emotional video mashup,” in 2011 NEM Summit Implementing Future Media Internet (NEM Summit 2011), September 27–29 2011.

[C24]  L. Canini, S. Benini, and R. Leonardi, “Affective analysis on patterns of shot types in movies,” in Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis (ISPA 2011), September 4–6 2011. 

[J05]  D. Cardillo, A. Rapp, S. Benini, L. Console, R. Simeoni, E. Guercio, and R. Leonardi, “The art of video mashup: supporting creative users with an innovative and smart application,” Multimedia Tools and Applications, vol. 53, pp. 1–23, May 2011. (IF: 1.483)

[Pat5]  G. Francini, N. Adami, S. Benini, and R. Leonardi, “Method and system for synchronizing electronic program guides,” Patent, December 29, 2010.

[C23]  J. Porteous, S. Benini, L. Canini, F. Charles, M. Cavazza, and R. Leonardi, “Interactive storytelling through video content recombination,” in Proceedings of ACM Conference on Multimedia (ACM MM 2010), October 25–29 2010. 

[C22]  L. Canini, S. Benini, and R. Leonardi, “Interactive video mashup based on emotional identity,” in Proceedings of the 2010 European Signal Processing Conference (EUSIPCO 2010), August 23–27 2010. 

[C21]  S. Benini, L. Canini, and R. Leonardi, “Estimating scene depth in cinematographic shots,” in Proceedings of the IEEE International Conference on Multimedia and Expo (ICME 2010), July 19–23 2010. 

[C20]  L. Canini, S. Gilroy, M. Cavazza, R. Leonardi, and S. Benini, “Users’ response to affective film content: a narrative perspective,” in Proceedings of the 8th International Workshop on Content-Based Multimedia Indexing (CBMI 2010), June 25–27 2010. 

[J04]  S. Benini, P. Migliorati, and R. Leonardi,“Statistical skimming of feature films,”International Journal of Digital Multimedia Broadcasting, vol. 2010, 2010. 

[J03]  S. Benini, P. Migliorati, and R. Leonardi, “Hierarchical structuring of video previews by leading-cluster-analysis,” Signal, Image and Video Processing, 2010. (IF: 1.034)

[J02]  O. Schreer, I. Feldmann, I. Mediavilla, P. Concejero, A. Sadka, M. Swash, S. Benini, R. Leonardi, T. Janjusevic, and E. Izquierdo, “Rushes: an annotation and retrieval engine for multimedia semantic units,” Multimedia Tools and Applications, vol. 48, October 2010. (IF: 1.855)  

[J01]  T. Janjusevic, S. Benini, E. Izquierdo, and R. Leonardi, “Random assisted browsing of rushes archives,” Journal of Multimedia, vol. 5, no. 2, April 2010. 

[C19]  L. Canini, S. Benini, P. Migliorati, and R. Leonardi, “Emotional identity of movies,” in Proceedings of the 16th IEEE International Conference on Image Processing (ICIP 2009), November 7–11 2009. [pdf]

[C18]  T. Janjusevic, S. Benini, E. Izquierdo, and R. Leonardi, “Random methods for fast exploration of the raw video material,” in Proceedings of the 20th International Workshop on Database and Expert Systems Application (DEXA 2009), August 31– September 4 2009, pp. 226–230.

[Pat4]  T. Janjusevic, S. Benini, E. Izquierdo, and R. Leonardi, “Random assisted methodology for browsing huge archives of un-edited videos,” Patent, July 1, 2009.

[C17]  S. Benini, L. Canini, P. Migliorati, and R. Leonardi, “Multimodal space for rushes representation and retrieval,” in Proceedings of the 7th International Workshop on Content-Based Multimedia Indexing (CBMI 2009), June 3–5 2009, pp. 50–55.

[C16]  E. Rossi, S. Benini, R. Leonardi, B. Mansencal, and J. Benois-Pineau, “Clustering of scene repeats for essential rushes preview,” in Proceedings of the 10th Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2009), May 6–8 2009, pp. 234–237.

[C15]  S. Benini, P. Migliorati, and R. Leonardi, “Fast dialogue indexing based on structure information,” in Proceedings of the 15th IEEE International Conference on Image Processing (ICIP 2008), October 12–15 2008, pp. 69–72.

[C14]  S. Benini, P. Migliorati, and R. Leonardi, “Retrieval of video story units by markov entropy rate,” in Proceedings of the 6th International Workshop on Content-Based Multimedia Indexing (CBMI 2008), June 18–20 2008, pp. 41–45.

[C13]  S. Benini, P. Migliorati, and R. Leonardi, “A statistical framework for video skimming based on logical story units and motion activity,” in Proceedings of the 5th International Workshop on Content-Based Multimedia Indexing (CBMI 2007), June 25–27 2007, pp. 152–156.

[C12]  S. Benini, P. Migliorati, and R. Leonardi, “Hidden markov models for video skim generation,” in Proceedings of the 8th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2007), June 6–8 2007.

[C11]  S. Benini, A. Bianchetti, R. Leonardi, and P. Migliorati,“Extraction of significant video summaries by dendrogram analysis,” in Proceedings of the IEEE International Conference on Image Processing (ICIP 2006), October 8–11 2006, pp. 133–136.

[C10]  N. Adami, S. Benini, and R. Leonardi, “An overview of video shot clustering and summarization techniques for mobile applications,” in Proceedings of the 2nd International Conference on Mobile Multimedia Communications (MOBIMEDIA 2006). New York, NY, USA: ACM, September 18–20 2006.

[C09]  S. Benini, A. Bianchetti, R. Leonardi, and P. Migliorati, “Hierarchical video summaries by dendrogram cluster analysis,” in Proceedings of the 14th European Signal Processing Conference (EUSIPCO 2006), September 4–8 2006.

[C08]  S. Benini, A. Bianchetti, R. Leonardi, and P. Migliorati, “Hierarchical summarization of videos by tree-structured vector quantization,” in Proceedings of the IEEE International Conference on Multimedia and Expo (ICME 2006), July 9–12 2006, pp. 969–972.

[C07]  S. Benini, A. Bianchetti, and R. Leonardi, “Using content analysis for video compression,” in Proocedings of the 25th Picture Coding Symposium (PCS 2006), April 24–26 2006.

[C06]  S. Benini, A. Bianchetti, R. Leonardi, and P. Migliorati, “Video shot clustering and summarization through dendrograms,” in Proceedings of the 7th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2006), April 19–21 2006.

[Pat3]  L.-Q. Xu and S. Benini, “Method and system for semantically segmenting an audio sequence,'' Patent WO2005/093712 A1, October 06, 2005.

[Pat2]  L.-Q. Xu and S. Benini, “Method and system for detecting audio and video scene changes,” Patent WO2005/093752, October 06, 2005.

[Pat1]  L.-Q. Xu and S. Benini, “Method and system for semantically segmenting scenes of a video sequence,” Patent WO/2005/093 638, October 06, 2005.

[C05]  S. Benini, L.-Q. Xu, and R. Leonardi, “Using lateral ranking for motion-based video shot retrieval and dynamic content characterization,” in Proceedings of the 4th International Workshop on Content-Based Multimedia Indexing (CBMI 2005), June 21–23 2005.

[C04]  S. Benini, L.-Q. Xu, and R. Leonardi, “Audio-visual VQ shot clustering for video programs,” in Proceedings of the 7th International Workshop of the EU Network of Excellence DELOS on Audio-Visual Content and Information Visualization in Digital Libraries (AVIVDiLib 2005), May 4–6 2005.

[C03]  S. Benini, L.-Q. Xu, and R. Leonardi, “Identifying video content consistency by vector quantization,” in Proceedings of the 6th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2005), April 13–15 2005.

[C02]  S. Benini, F. Guerrini, R. Leonardi, and P. Migliorati, “Effective image fingerprint extraction based on random bubble sampling,” in Proceedings of the 5th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2004), April 21–23 2004.

[C01]  S. Benini, E. Boniotti, R. Leonardi, and A. Signoroni, “Interactive segmentation of biomedical images and volumes using connected operators,” in Proceedings of the IEEE International Conference on Image Processing (ICIP 2000), vol. 3, September 10–13 2000, pp. 452–455.