Image and Multimedia Data Science Laboratory (IMSCIENCE)
Image and Multimedia Data Science Laboratory (IMScience)
 
PUC Minas

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Refereed journal papers · 29

type year title venue authors
’21 Bridging vision and language from the video-to-text perspective: A comprehensive review CoRR J. Perez-Martin, B. Bustos, S. Guimar~aes, I. Sipiran, J. P'erez, G. Said
’21 Hierarchical multi-label propagation using speaking face graphs for multimodal person discovery MTAP G. da Fonseca, G. Sargent, R. Sicre, Z. do Patroc', G. Gravier, S. Guimar~aes
’’ Superpixel segmentation using dynamic and iterative spanning forest CoRR F. de Castro Belém, S. Guimarães, A. Falcão
’’ Image segmentation using dense and sparse hierarchies of superpixels PR F. Galvão, S. Guimarães, A. Falcão
’’ Hierarchical segmentation from a non-increasing edge observation attribute PRL E. Cahuina, J. Cousty, S. Guimarães, Y. Kenmochi, G. Chávez, A. de Albuquerque Araújo
’’ Efficient hierarchical graph partitioning for image segmentation by optimum oriented cuts PRL H. Bejar, S. Guimarães, P. Miranda
’’ Learning to realign hierarchy for image segmentation PRL M. Adão, S. Guimarães, Z. do Patrocínio Jr.
’’ Superpixel segmentation using dynamic and iterative spanning forest SPL F. Belém, S. Guimarães, A. Falcão
’19 Efficient algorithms for hierarchical graph-based segmentation relying on the felzenszwalb-huttenlocher dissimilarity IJPRAI E. Cahuina, J. Cousty, Y. Kenmochi, A. de Albuquerque Araújo, G. Chávez, S. Guimarães
’19 Removing non-significant regions in hierarchical clustering and segmentation PRL B. Perret, J. Cousty, S. Guimarães, Y. Kenmochi, L. Najman
’18 Hierarchical segmentations with graphs: quasi-flat zones, minimum spanning trees, and saliency maps JMIV J. Cousty, L. Najman, Y. Kenmochi, S. Guimarães
’18 Evaluation of hierarchical watersheds TIP B. Perret, J. Cousty, S. Guimarães, D. Maia
’17 Combining pixel domain and compressed domain index for sketch based image retrieval MTAP C. Filho, B. Bustos, A. de Albuquerque Araújo, S. Guimarães
’16 A mid-level video representation based on binary descriptors: A case study for pornography detection CoRR C. Caetano, S. de Avila, W. Schwartz, S. Guimarães, A. de Albuquerque Araújo
’16 Summarizing video sequence using a graph-based hierarchical approach NEURO L. dos Santos Belo, C. Jr., Z. do Patrocínio Jr., S. Guimarães
’16 A mid-level video representation based on binary descriptors: A case study for pornography detection NEURO C. Caetano, S. de Avila, W. Schwartz, S. Guimarães, A. de Albuquerque Araújo
’15 New characterizations of minimum spanning trees and of saliency maps based on quasi-flat zones CoRR J. Cousty, L. Najman, Y. Kenmochi, S. Guimarães
’15 Efficient unsupervised band selection through spectral rhythms JTSP L. dos Santos, S. Guimarães, J. dos Santos
’15 An efficient access method for multimodal video retrieval MTAP R. Sperandio, Z. Jr., H. de Paula, S. Guimarães
’14 Exploring strategies for minimizing overlap between nodes in a multimodal metric tree JIDM R. Sperandio, Z. Jr., H. de Paula, S. Guimarães
’14 Graph-based hierarchical video segmentation based on a simple dissimilarity measure PRL K. de Souza, A. de Albuquerque Araújo, Z. do Patrocínio Jr., S. Guimarães
’14 Analysis of using metric access methods for visual search of objects in video databases RITA H. da Silva, Z. do Patrocínio Jr., S. Guimarães
’12 An efficient hierarchical graph based image segmentation CoRR S. Guimarães, J. Cousty, Y. Kenmochi, L. Najman
’11 Identification of video subsequence using bipartite graph matching JBCS S. Guimarães, Z. do Patrocínio Jr.
’09 A new dissimilarity measure for cut detection using bipartite graph matching IJSC S. Guimarães, Z. do Patrocínio Jr., H. de Paula, H. da Silva
’04 Flat zone analysis and a sharpening operation for gradual transition detection on video images JASP S. Guimarães, N. Leite, M. Couprie, A. de Albuquerque Araújo
’03 Video segmentation based on 2d image analysis PRL S. Guimarães, M. Couprie, A. de Albuquerque Araújo, N. Leite
’01 Morphological residues and a general framework for image filtering and segmentation JASP N. Leite, S. Guimarães
’00 Recuperação de informação visual com base no conteúdo em imagens e vídeos digitais RITA A. de Albuquerque Araújo, S. Guimarães

Refereed conference papers · 71

type year title venue authors
’21 Towards interactive image segmentation by dynamic and iterative spanning forest DGMM I. Barcelos, F. Bel'em, P. Miranda, A. Falc~ao, Z. do Patroc', S. Guimar~aes
’21 Fuzzy-marker-based segmentation using hierarchies DGMM G. da Fonseca, B. Perret, R. Negrel, J. Cousty, S. Guimar~aes
’21 Graph-based supervoxel computation from iterative spanning forest DGMM C. de Almeida, F. Bel'em, S. Carneiro, Z. do Patroc', L. Najman, A. Falc~ao, S. Guimar~aes
’21 Descriptive image gradient from edge-weighted image graph and random forests SIBGRAPI R. de Almeida, Z. do Patroc'Jr., A. de Albuquerque Ara'ujo, E. Kijak, S. Malinowski, S. Guimar~aes
’21 Towards a simple and efficient object-based superpixel delineation framework SIBGRAPI F. de Castro Bel'em, B. Perret, J. Cousty, S. Guimar~aes, A. Falc~ao
’21 New hierarchy-based segmentation layer: towards automatic marker proposal SIBGRAPI G. da Fonseca, R. Negrel, B. Perret, J. Cousty, S. Guimar~aes
’’ Dense crowd counting with capsule networks IWSSIP V. Reis, S. Guimarães, Z. do Patrocínio
’19 Brief-based mid-level representations for time series classification CIARP R. de Souza, R. de Almeida, R. Miranda, Z. do Patrocínio Jr., S. Malinowski, S. Guimarães
’19 A study of observation scales based on felzenswalb-huttenlocher dissimilarity measure for hierarchical segmentation DGCI E. Cahuina, J. Cousty, S. Guimarães, Y. Kenmochi, G. Chávez, A. de Albuquerque Araújo
’19 Label propagation guided by hierarchy of partitions for superpixel computation ICIAP C. de Almeida, J. Cousty, B. Perret, Z. do Patrocínio Jr., S. Guimarães
’19 Combining convolutional side-outputs for road image segmentation IJCNN F. Reis, R. Almeida, E. Kijak, S. Malinowski, S. Guimarães, Z. do Patrocínio
’19 Multi-stream deep convolutional network using high-level features applied to fall detection in video sequences IWSSIP S. Carneiro, G. da Silva, G. Leite, R. Moreno, S. Guimarães, H. Pedrini
’19 Deep convolutional multi-stream network detection system applied to fall identi?cation in video sequences MLDM S. Carneiro, G. da Silva, G. Leite, R. Moreno, S. Guimarães, H. Pedrini
’19 Fight detection in video sequences based on multi-stream convolutional neural networks SIBGRAPI S. Carneiro, G. da Silva, S. Guimarães, H. Pedrini
’19 Exploring hierarchy simplification for non-significant region removal SIBGRAPI I. Barcelos, G. da Fonseca, L. Najman, Y. Kenmochi, B. Perret, J. Cousty, Z. do Patrocínio, S. Guimarães
’19 The importance of object-based seed sampling for superpixel segmentation SIBGRAPI F. Belém, L. de Melo Joao, S. Guimarães, A. Falcão
’18 Evaluation of bag-of-word performance for time series classification using discriminative sift-based mid-level representations CIARP R. Almeida, H. Herlanin, Z. do Patrocínio Jr., S. Malinowski, S. Guimarães
’18 Hierarchical graph-based segmentation in detection of object-related regions CIARP R. Ribeiro, S. Guimarães, Z. do Patrocínio Jr.
’18 Evaluation of scale-aware realignments of hierarchical image segmentation CIARP M. Adão, S. Guimarães, Z. Jr.
’18 Superpixel segmentation by object-based iterative spanning forest CIARP F. Belém, S. Guimarães, A. Falcão
’18 Image inpainting based on local patch search supported by image segmentation CIARP S. Carneiro, H. Pedrini, S. Guimarães
’18 Hierarchy-based salient regions: A region detector based on hierarchies of partitions CIARP K. Otiniano-Rodríguez, A. de Albuquerque Araújo, G. Chávez, J. Cousty, S. Guimarães, B. Perret
’18 Evaluation of morphological hierarchies for supervised video segmentation SAC F. Nhimi, Z. Jr., B. Perret, J. Cousty, S. Guimarães
’17 Tag propagation approaches within speaking face graphs for multimodal person discovery CBMI G. da Fonseca, I. Freire, Z. Jr., S. Guimarães, G. Sargent, R. Sicre, G. Gravier
’17 Towards large scale multimedia indexing: A case study on person discovery in broadcast news CBMI N. Le, H. Bredin, G. Sargent, M. India, P. Lopez-Otero, C. Barras, C. Guinaudeau, G. Gravier, G. da Fonseca, I. Freire, Z. Jr., S. Guimarães, G. Martí, J. Morros, J. Hernando, L. Fernández, C. García-Mateo, S. Meignier, J. Odobez
’17 Graph-based hierarchical video cosegmentation ICIAP F. Rodrigues, P. Leal, Y. Kenmochi, J. Cousty, L. Najman, S. Guimarães, Z. do Patrocínio Jr.
’17 Human action classification using an extended bow formalism ICIAP R. Almeida, B. Bustos, Z. do Patrocínio Jr., S. Guimarães
’17 Exploring quantization error to improve human action classification IJCNN R. Almeida, Z. do Patrocínio Jr., S. Guimarães
’17 A new pooling strategy based on local feature distribution: A case study for human action classification SIBGRAPI R. Almeida, Z. do Patrocínio Jr., S. Guimarães
’17 Using graph homomorphisms for vertex classification analysis in social networks WEBMEDIA G. Marzano, P. da Silveira, G. da Fonseca, P. Jr., S. Guimarães
’16 Near-duplicate video detection based on an approximate similarity self-join strategy CBMI H. da Silva, Z. do Patrocínio, G. Gravier, L. Amsaleg, A. de Albuquerque Araújo, S. Guimarães
’16 Pucminas and IRISA at multimodal person discovery G. Sargent, G. de Fonseca, I. Freire, R. Sicre, Z. do Patrocínio Jr., S. Guimarães, G. Gravier
’16 Video similarity search by using compact representations SAC H. da Silva, R. de Almeida, G. da Fonseca, C. Caetano, D. Vieira, Z. do Patrocínio Jr., A. de Albuquerque Araújo, S. Guimarães
’16 Gameplay genre video classification by using mid-level video representation SIBGRAPI R. de Souza, R. de Almeida, A. Moldovan, Z. do Patrocínio Jr., S. Guimarães
’16 Decreasing the number of features for improving human action classification SIBGRAPI K. de Souza, A. de Albuquerque Araújo, Z. do Patrocínio Jr., J. Cousty, L. Najman, Y. Kenmochi, S. Guimarães
’16 Stochastic hierarchical watershed cut based on disturbed topographical surface SIBGRAPI C. Filho, A. de Albuquerque Araújo, J. Cousty, S. Guimarães, L. Najman
’15 Hierarchical combination of semantic visual words for image classification and clustering CIARP V. von Glehn De Filippo, Z. do Patrocínio Jr., S. Guimarães
’15 Kernel combination through genetic programming for image classification CIARP Y. Ribeiro, Z. do Patrocínio Jr., S. Guimarães
’15 Re-ranking of the merging order for hierarchical image segmentation CIARP Z. do Patrocínio Jr., S. Guimarães
’15 Hierarchical image segmentation relying on a likelihood ratio test ICIAP S. Guimarães, Z. do Patrocínio Jr., Y. Kenmochi, J. Cousty, L. Najman
’15 Evaluation of morphological hierarchies for supervised segmentation ISMM B. Perret, J. Cousty, J. Ura, S. Guimarães
’15 New characterizations of minimum spanning trees and of saliency maps based on quasi-flat zones ISMM J. Cousty, L. Najman, Y. Kenmochi, S. Guimarães
’15 Streaming graph-based hierarchical video segmentation by a simple label propagation SIBGRAPI K. de Souza, A. de Albuquerque Araújo, S. Guimarães, Z. do Patrocínio, M. Cord
’14 Phenological event detection by visual rhythms dissimilarity analysis ESCIENCE L. dos Santos, J. Almeida, J. dos Santos, S. Guimarães, A. de Albuquerque Araújo, B. Alberton, L. Morellato, R. da Silva Torres
’14 Pornography detection using bossanova video descriptor EUSIPCO C. Caetano, S. de Avila, S. Guimarães, A. de Albuquerque Araújo
’14 Graph-based hierarchical video summarization using global descriptors ICTAI L. Belo, C. Caetano, Z. do Patrocínio, S. Guimarães
’14 Representing local binary descriptors with bossanova for visual recognition SAC C. Caetano, S. de Avila, S. Guimarães, A. de Albuquerque Araújo
’14 Unsupervised hyperspectral band selection based on spectral rhythm analysis SIBGRAPI L. dos Santos, S. Guimarães, A. de Albuquerque Araújo, J. dos Santos
’13 A graph-based hierarchical image segmentation method based on a statistical merging predicate ICIAP S. Guimarães, Z. do Patrocínio Jr.
’13 Improving the quality of color image segmentation using genetic algorithm ICIAP A. Jr., Z. do Patrocínio Jr., S. Guimarães
’13 Searching for near-duplicate video sequences from a scalable sequence aligner ISM L. de Oliveira, Z. do Patrocínio, S. Guimarães, G. Gravier
’13 Hierarchical video segmentation using an observation scale SIBGRAPI K. de Souza, A. de Albuquerque Araújo, Z. do Patrocínio, J. Cousty, L. Najman, Y. Kenmochi, S. Guimarães
’13 An efficient access method for multimodal video retrieval WEBMEDIA R. Sperandio, Z. do Patrocínio Jr., H. de Paula, S. Guimarães
’12 A two-step video subsequence identification based on bipartite graph matching SMC S. Guimarães, Z. do Patrocínio Jr.
’12 A hierarchical image segmentation algorithm based on an observation scale SSPR S. Guimarães, J. Cousty, Y. Kenmochi, L. Najman
’11 A simple hierarchical clustering method for improving flame pixel classification ICTAI K. de Souza, S. Guimarães, Z. do Patrocínio Jr., A. de Albuquerque Araújo, J. Cousty
’11 Video text extraction based on image regularization and temporal analysis ISM . de Jesus, S. Guimarães, Z. do Patrocínio Jr.
’10 A static video summarization method based on hierarchical clustering CIARP S. Guimarães, W. Gomes
’10 An unified transition detection based on bipartite graph matching approach CIARP Z. do Patrocínio Jr., S. Guimarães, H. da Silva, K. de Souza
’09 Gradual transition detection based on bipartite graph matching approach MMSP S. Guimarães, Z. do Patrocínio Jr., K. de Souza, H. de Paula
’08 An approach for video cut detection using bipartite graph matching as dissimilarity distance ICPR S. Guimarães, Z. do Patrocínio Jr., H. de Paula
’08 A rotation and translation invariant algorithm for cut detection using bipartite graph matching ISM S. Guimarães, Z. do Patrocínio Jr., H. de Paula
’07 Bipartite graph matching for video clip localization SIBGRAPI Z. do Patrocínio Jr., S. Guimarães, H. de Paula
’06 Counting of video clip repetitions using a modified BMH algorithm: preliminary results ICME S. Guimarães, R. Coelho, A. Torres
’06 A collaborative learning approach and its evaluation IFIP L. Ishitani, S. Guimarães, G. Bruegger
’03 An approach to detect video transitions based on mathematical morphology ICIP S. Guimarães, M. Couprie, A. de Albuquerque Araújo, N. Leite
’02 Video fade detection by discrete line identification ICPR S. Guimarães, A. de Albuquerque Araújo, M. Couprie, N. Leite
’02 A directional and parametrized transition detection algorithm based on morphological residues SIBGRAPI S. Guimarães, N. Leite, M. Couprie, A. de Albuquerque Araújo
’01 A method for cut detection based on visual rhythm SIBGRAPI S. Guimarães, M. Couprie, A. de Albuquerque Araújo, N. Leite
’00 Image decomposition in morphological residues: an approach for image filtering and segmentation SIBGRAPI S. Guimarães, N. Leite
’00 Old movie restoration using opening by surface SIBGRAPI S. Guimarães, A. de Albuquerque Araújo, G. Cerqueira