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| Author | Patrick Brandao; O. Zisimopoulos; E. Mazomenos; G. Ciutib; Jorge Bernal; M. Visentini-Scarzanell; A. Menciassi; P. Dario; A. Koulaouzidis; A. Arezzo; D.J. Hawkes; D. Stoyanov | ||||
| Title | Towards a computed-aided diagnosis system in colonoscopy: Automatic polyp segmentation using convolution neural networks | Type | Journal | ||
| Year | 2018 | Publication | Journal of Medical Robotics Research | Abbreviated Journal | JMRR |
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3 | Issue | 2 | Pages | |
| Keywords | convolutional neural networks; colonoscopy; computer aided diagnosis | ||||
| Abstract | Early diagnosis is essential for the successful treatment of bowel cancers including colorectal cancer (CRC) and capsule endoscopic imaging with robotic actuation can be a valuable diagnostic tool when combined with automated image analysis. We present a deep learning rooted detection and segmentation framework for recognizing lesions in colonoscopy and capsule endoscopy images. We restructure established convolution architectures, such as VGG and ResNets, by converting them into fully-connected convolution networks (FCNs), ne-tune them and study their capabilities for polyp segmentation and detection. We additionally use Shape-from-Shading (SfS) to recover depth and provide a richer representation of the tissue's structure in colonoscopy images. Depth is
incorporated into our network models as an additional input channel to the RGB information and we demonstrate that the resulting network yields improved performance. Our networks are tested on publicly available datasets and the most accurate segmentation model achieved a mean segmentation IU of 47.78% and 56.95% on the ETIS-Larib and CVC-Colon datasets, respectively. For polyp detection, the top performing models we propose surpass the current state of the art with detection recalls superior to 90% for all datasets tested. To our knowledge, we present the rst work to use FCNs for polyp segmentation in addition to proposing a novel combination of SfS and RGB that boosts performance. |
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| Notes | MV; no menciona | Approved | no | ||
| Call Number | BZM2018 | Serial | 2976 | ||
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| Author | X. Orriols; Lluis Barcelo; X. Binefa | ||||
| Title | An Appearance-Based Method for Parametric Video Registration. | Type | Journal | ||
| Year | 2003 | Publication | Electronic Letters on Computer Vision and Image Analysis | Abbreviated Journal | |
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2 | Issue | 1 | Pages | 1-11 |
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| Address | Paris | ||||
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| Notes | Approved | no | |||
| Call Number | Admin @ si @ OBB2001b | Serial | 145 | ||
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| Author | A. Toet; M. Henselmans; M.P. Lucassen; Theo Gevers | ||||
| Title | Emotional effects of dynamic textures | Type | Journal | ||
| Year | 2011 | Publication | i-Perception | Abbreviated Journal | iPER |
| Volume |
2 | Issue | 9 | Pages | 969 – 991 |
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| Abstract | This study explores the effects of various spatiotemporal dynamic texture characteristics on human emotions. The emotional experience of auditory (eg, music) and haptic repetitive patterns has been studied extensively. In contrast, the emotional experience of visual dynamic textures is still largely unknown, despite their natural ubiquity and increasing use in digital media. Participants watched a set of dynamic textures, representing either water or various different media, and self-reported their emotional experience. Motion complexity was found to have mildly relaxing and nondominant effects. In contrast, motion change complexity was found to be arousing and dominant. The speed of dynamics had arousing, dominant, and unpleasant effects. The amplitude of dynamics was also regarded as unpleasant. The regularity of the dynamics over the textures’ area was found to be uninteresting, nondominant, mildly relaxing, and mildly pleasant. The spatial scale of the dynamics had an unpleasant, arousing, and dominant effect, which was larger for textures with diverse content than for water textures. For water textures, the effects of spatial contrast were arousing, dominant, interesting, and mildly unpleasant. None of these effects were observed for textures of diverse content. The current findings are relevant for the design and synthesis of affective multimedia content and for affective scene indexing and retrieval. | ||||
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| ISSN | 2041-6695 | ISBN | Medium | ||
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| Notes | ALTRES;ISE | Approved | no | ||
| Call Number | Admin @ si @THL2011 | Serial | 1843 | ||
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| Author | G.Thorvaldsen; Joana Maria Pujadas-Mora; T.Andersen ; L.Eikvil; Josep Llados; Alicia Fornes; Anna Cabre | ||||
| Title | A Tale of two Transcriptions | Type | Journal | ||
| Year | 2015 | Publication | Historical Life Course Studies | Abbreviated Journal | |
| Volume |
2 | Issue | Pages | 1-19 | |
| Keywords | Nominative Sources; Census; Vital Records; Computer Vision; Optical Character Recognition; Word Spotting | ||||
| Abstract | non-indexed
This article explains how two projects implement semi-automated transcription routines: for census sheets in Norway and marriage protocols from Barcelona. The Spanish system was created to transcribe the marriage license books from 1451 to 1905 for the Barcelona area; one of the world’s longest series of preserved vital records. Thus, in the Project “Five Centuries of Marriages” (5CofM) at the Autonomous University of Barcelona’s Center for Demographic Studies, the Barcelona Historical Marriage Database has been built. More than 600,000 records were transcribed by 150 transcribers working online. The Norwegian material is cross-sectional as it is the 1891 census, recorded on one sheet per person. This format and the underlining of keywords for several variables made it more feasible to semi-automate data entry than when many persons are listed on the same page. While Optical Character Recognition (OCR) for printed text is scientifically mature, computer vision research is now focused on more difficult problems such as handwriting recognition. In the marriage project, document analysis methods have been proposed to automatically recognize the marriage licenses. Fully automatic recognition is still a challenge, but some promising results have been obtained. In Spain, Norway and elsewhere the source material is available as scanned pictures on the Internet, opening up the possibility for further international cooperation concerning automating the transcription of historic source materials. Like what is being done in projects to digitize printed materials, the optimal solution is likely to be a combination of manual transcription and machine-assisted recognition also for hand-written sources. |
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| ISSN | 2352-6343 | ISBN | Medium | ||
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| Notes | DAG; 600.077; 602.006 | Approved | no | ||
| Call Number | Admin @ si @ TPA2015 | Serial | 2582 | ||
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| Author | Aura Hernandez-Sabate; Meritxell Joanpere; Nuria Gorgorio; Lluis Albarracin | ||||
| Title | Mathematics learning opportunities when playing a Tower Defense Game | Type | Journal | ||
| Year | 2015 | Publication | International Journal of Serious Games | Abbreviated Journal | IJSG |
| Volume |
2 | Issue | 4 | Pages | 57-71 |
| Keywords | Tower Defense game; learning opportunities; mathematics; problem solving; game design | ||||
| Abstract | A qualitative research study is presented herein with the purpose of identifying mathematics learning opportunities in students between 10 and 12 years old while playing a commercial version of a Tower Defense game. These learning opportunities are understood as mathematicisable moments of the game and involve the establishment of relationships between the game and mathematical problem solving. Based on the analysis of these mathematicisable moments, we conclude that the game can promote problem-solving processes and learning opportunities that can be associated with different mathematical contents that appears in mathematics curricula, thought it seems that teacher or new game elements might be needed to facilitate the processes. | ||||
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| Notes | ADAS; 600.076 | Approved | no | ||
| Call Number | Admin @ si @ HJG2015 | Serial | 2730 | ||
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| Author | Shifeng Zhang; Ajian Liu; Jun Wan; Yanyan Liang; Guogong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z. Li | ||||
| Title | CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing | Type | Journal | ||
| Year | 2020 | Publication | IEEE Transactions on Biometrics, Behavior, and Identity Science | Abbreviated Journal | TTBIS |
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2 | Issue | 2 | Pages | 182 - 193 |
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| Abstract | Face anti-spoofing is essential to prevent face recognition systems from a security breach. Much of the progresses have been made by the availability of face anti-spoofing benchmark datasets in recent years. However, existing face anti-spoofing benchmarks have limited number of subjects (≤170) and modalities (≤2), which hinder the further development of the academic community. To facilitate face anti-spoofing research, we introduce a large-scale multi-modal dataset, namely CASIA-SURF, which is the largest publicly available dataset for face anti-spoofing in terms of both subjects and modalities. Specifically, it consists of 1,000 subjects with 21,000 videos and each sample has 3 modalities ( i.e. , RGB, Depth and IR). We also provide comprehensive evaluation metrics, diverse evaluation protocols, training/validation/testing subsets and a measurement tool, developing a new benchmark for face anti-spoofing. Moreover, we present a novel multi-modal multi-scale fusion method as a strong baseline, which performs feature re-weighting to select the more informative channel features while suppressing the less useful ones for each modality across different scales. Extensive experiments have been conducted on the proposed dataset to verify its significance and generalization capability. The dataset is available at https://sites.google.com/qq.com/face-anti-spoofing/welcome/challengecvpr2019?authuser=0 | ||||
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| Notes | HuPBA; no proj | Approved | no | ||
| Call Number | Admin @ si @ ZLW2020 | Serial | 3412 | ||
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| Author | Agata Lapedriza; David Masip; Jordi Vitria | ||||
| Title | On the Use of External Face Features for Identity Verification | Type | Journal | ||
| Year | 2006 | Publication | Journal of Multimedia, 1(4): 11–20 | Abbreviated Journal | |
| Volume |
1 | Issue | 4 | Pages | 11-20 |
| Keywords | Face Verification, Computer Vision, Machine Learning | ||||
| Abstract | In general automatic face classification applications images are captured in natural environments. In these cases, the performance is affected by variations in facial images related to illumination, pose, occlusion or expressions. Most of the existing face classification systems use only the internal features information, composed by eyes, nose and mouth, since they are more difficult to imitate. Nevertheless, nowadays a lot of applications not related to security are developed, and in these cases the information located at head, chin or ears zones (external features) can be useful to improve the current accuracies. However, the lack of a natural alignment in these areas makes difficult to extract these features applying classic Bottom-Up methods. In this paper, we propose a complete scheme based on a Top-Down reconstruction algorithm to extract external features of face images. To test our system we have performed face verification experiments using public databases, given that identity verification is a general task that has many real life applications. We have considered images uniformly illuminated, images with occlusions and images with high local changes in the illumination, and the obtained results show that the information contributed by the external features can be useful for verification purposes, specially significant when faces are partially occluded. | ||||
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| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ LMV2006b | Serial | 708 | ||
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| Author | Ignasi Rius; Jordi Gonzalez; Mikhail Mozerov; Xavier Roca | ||||
| Title | Automatic Learning of 3D Pose Variability in Walking Performances for Gait Analysis | Type | Journal | ||
| Year | 2008 | Publication | International Journal for Computational Vision and Biomechanics | Abbreviated Journal | |
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1 | Issue | 1 | Pages | 33–43 |
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| Notes | ISE | Approved | no | ||
| Call Number | ISE @ ise @ RGM2008 | Serial | 1020 | ||
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| Author | Juan Ramon Terven Salinas; Joaquin Salas; Bogdan Raducanu | ||||
| Title | Estado del Arte en Sistemas de Vision Artificial para Personas Invidentes | Type | Journal | ||
| Year | 2013 | Publication | Komputer Sapiens | Abbreviated Journal | KS |
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1 | Issue | Pages | 20-25 | |
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| Notes | OR;MV | Approved | no | ||
| Call Number | Admin @ si @ TSR2013 | Serial | 2231 | ||
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| Author | Aymen Azaza; Joost Van de Weijer; Ali Douik; Javad Zolfaghari Bengar; Marc Masana | ||||
| Title | Saliency from High-Level Semantic Image Features | Type | Journal | ||
| Year | 2020 | Publication | SN Computer Science | Abbreviated Journal | SN |
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1 | Issue | 4 | Pages | 1-12 |
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| Abstract | Top-down semantic information is known to play an important role in assigning saliency. Recently, large strides have been made in improving state-of-the-art semantic image understanding in the fields of object detection and semantic segmentation. Therefore, since these methods have now reached a high-level of maturity, evaluation of the impact of high-level image understanding on saliency estimation is now feasible. We propose several saliency features which are computed from object detection and semantic segmentation results. We combine these features with a standard baseline method for saliency detection to evaluate their importance. Experiments demonstrate that the proposed features derived from object detection and semantic segmentation improve saliency estimation significantly. Moreover, they show that our method obtains state-of-the-art results on (FT, ImgSal, and SOD datasets) and obtains competitive results on four other datasets (ECSSD, PASCAL-S, MSRA-B, and HKU-IS). | ||||
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| Notes | LAMP; 600.120; 600.109; 600.106 | Approved | no | ||
| Call Number | Admin @ si @ AWD2020 | Serial | 3503 | ||
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| Author | A. Martinez; Jordi Vitria | ||||
| Title | Clustering in Image Space for Place Recognition and Visiual Annotations for Human-Robot Interaction. | Type | Journal | ||
| Year | 2001 | Publication | IEEE Trans. on Systems, Man, and Cybernatics–Part B: Cybernetics, 31(5):669–682 (IF: 0.789) | Abbreviated Journal | |
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| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ MVi2001 | Serial | 141 | ||
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| Author | Lluis Barcelo; X. Binefa | ||||
| Title | Bayesian Video Mosaicing with moving objects | Type | Journal | ||
| Year | 2002 | Publication | International Journal of Pattern Recognition and Artificial Intelligence, 16(3): 341–348 (IF: 0.359) | Abbreviated Journal | |
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| Notes | Approved | no | |||
| Call Number | Admin @ si @ BaB2002 | Serial | 268 | ||
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| Author | Cristina Cañero; Fernando Vilariño; Petia Radeva | ||||
| Title | Predictive (un) distortion model and 3D Reconstruction by Biplane Snakes | Type | Journal | ||
| Year | 2002 | Publication | IEEE Transactions on Medical Imaging (IF: 2.911) | Abbreviated Journal | |
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| Notes | MILAB;SIAI | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ CVR2002 | Serial | 269 | ||
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| Author | Xavier Otazu; M. Ribo; M. Peracaula; J.M. Paredes; J. Nuñez | ||||
| Title | Detection of superimposed periodic signals using wavelets | Type | Journal | ||
| Year | 2002 | Publication | Monthly Notices of the Royal Astronomical Society, 333, 2: 365–372 (IF: 4.671) | Abbreviated Journal | |
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ ORP2002 | Serial | 272 | ||
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| Author | J.M. Sanchez; X. Binefa; Jordi Vitria | ||||
| Title | Shot Partitioning Based Recognition of Tv Commercials | Type | Journal | ||
| Year | 2002 | Publication | Multimedia Tools and Applications, 18: 233–247, Kluwer Academic Publishers (IF: 0.421) | Abbreviated Journal | |
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| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ SBV2002 | Serial | 274 | ||
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