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| Author | A. Pujol; Javier Varona; Joan Serrat | ||||
| Title | A machine vision system for the inspection of industrial sieves. | Type | Conference Article | ||
| Year | 1997 | Publication  |
(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis | Abbreviated Journal | |
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ PVS1997 | Serial | 33 | ||
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| Author | Xavier Roca; X. Binefa; Jordi Vitria | ||||
| Title | A New Accomodation Algorithm for a Microscopy Environment. | Type | Conference Article | ||
| Year | 1997 | Publication |
(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis | Abbreviated Journal | |
| Volume | Issue | Pages | 66-67 | ||
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| Notes | OR;ISE;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ RBV1997 | Serial | 37 | ||
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| Author | Javier Varona; Juan J. Villanueva | ||||
| Title | Neural Networks for Early Vision. | Type | Conference Article | ||
| Year | 1997 | Publication |
(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis | Abbreviated Journal | |
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| Address | CVC (UAB) | ||||
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| Notes | Approved | no | |||
| Call Number | ISE @ ise @ VaV1997b | Serial | 62 | ||
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| Author | X. Binefa; Xavier Roca; Jordi Vitria | ||||
| Title | A Contrast Approach to Depth from Focus. | Type | Conference Article | ||
| Year | 1997 | Publication |
(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis | Abbreviated Journal | |
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| Address | Barcelona | ||||
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| Notes | OR;ISE;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ BRV1997 | Serial | 63 | ||
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| Author | W. Niessen; Antonio Lopez; W. Van Enk; P. Van Roermund; Bart M. Ter Haar Romeny; M. Viergever | ||||
| Title | Multiscale Trabecular Bone Orientation Analysis. | Type | Conference Article | ||
| Year | 1997 | Publication |
(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis | Abbreviated Journal | |
| Volume | Issue | Pages | 19-24 | ||
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ NLE1997a | Serial | 66 | ||
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| Author | David Lloret; Antonio Lopez; Joan Serrat | ||||
| Title | Rigid Registration of CT and MR volumes based on Rothes creases | Type | Conference Article | ||
| Year | 1997 | Publication |
(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis | Abbreviated Journal | |
| Volume | Issue | Pages | 1-6 | ||
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| Address | Barcelona (Spain) | ||||
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ LLS1997 | Serial | 490 | ||
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| Author | Ernest Valveny; Enric Marti | ||||
| Title | Dimensions analysis in hand-drawn architectural drawings | Type | Conference Article | ||
| Year | 1997 | Publication |
(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis | Abbreviated Journal | |
| Volume | Issue | Pages | 90-91 | ||
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| Publisher | Place of Publication | CVC-UAB | Editor | ||
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| Notes | DAG;IAM; | Approved | no | ||
| Call Number | IAM @ iam @ VAM1997 | Serial | 1659 | ||
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| Author | A. Auge; Javier Varona; Juan J. Villanueva | ||||
| Title | Tumour Segmentation in Mammographies with Neural Networks. Application to Tumoural Volume Approximation. | Type | Conference Article | ||
| Year | 1997 | Publication |
(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis. | Abbreviated Journal | |
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| Notes | Approved | no | |||
| Call Number | ISE @ ise @ AVV1997 | Serial | 208 | ||
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| Author | Adria Rico; Alicia Fornes | ||||
| Title | Camera-based Optical Music Recognition using a Convolutional Neural Network | Type | Conference Article | ||
| Year | 2017 | Publication |
12th IAPR International Workshop on Graphics Recognition | Abbreviated Journal | |
| Volume | Issue | Pages | 27-28 | ||
| Keywords | optical music recognition; document analysis; convolutional neural network; deep learning | ||||
| Abstract | Optical Music Recognition (OMR) consists in recognizing images of music scores. Contrary to expectation, the current OMR systems usually fail when recognizing images of scores captured by digital cameras and smartphones. In this work, we propose a camera-based OMR system based on Convolutional Neural Networks, showing promising preliminary results | ||||
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| Area | Expedition | Conference | GREC | ||
| Notes | DAG;600.097; 600.121 | Approved | no | ||
| Call Number | Admin @ si @ RiF2017 | Serial | 3059 | ||
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| Author | Maryam Asadi-Aghbolaghi; Albert Clapes; Marco Bellantonio; Hugo Jair Escalante; Victor Ponce; Xavier Baro; Isabelle Guyon; Shohreh Kasaei; Sergio Escalera | ||||
| Title | A survey on deep learning based approaches for action and gesture recognition in image sequences | Type | Conference Article | ||
| Year | 2017 | Publication |
12th IEEE International Conference on Automatic Face and Gesture Recognition | Abbreviated Journal | |
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| Abstract | The interest in action and gesture recognition has grown considerably in the last years. In this paper, we present a survey on current deep learning methodologies for action and gesture recognition in image sequences. We introduce a taxonomy that summarizes important aspects of deep learning
for approaching both tasks. We review the details of the proposed architectures, fusion strategies, main datasets, and competitions. We summarize and discuss the main works proposed so far with particular interest on how they treat the temporal dimension of data, discussing their main features and identify opportunities and challenges for future research. |
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| Address | Washington; USA; May 2017 | ||||
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| Area | Expedition | Conference | FG | ||
| Notes | HUPBA; no proj | Approved | no | ||
| Call Number | Admin @ si @ ACB2017b | Serial | 2982 | ||
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| Author | Carles Sanchez; Antonio Esteban Lansaque; Agnes Borras; Marta Diez-Ferrer; Antoni Rosell; Debora Gil | ||||
| Title | Towards a Videobronchoscopy Localization System from Airway Centre Tracking | Type | Conference Article | ||
| Year | 2017 | Publication |
12th International Conference on Computer Vision Theory and Applications | Abbreviated Journal | |
| Volume | Issue | Pages | 352-359 | ||
| Keywords | Video-bronchoscopy; Lung cancer diagnosis; Airway lumen detection; Region tracking; Guided bronchoscopy navigation | ||||
| Abstract | Bronchoscopists use fluoroscopy to guide flexible bronchoscopy to the lesion to be biopsied without any kind of incision. Being fluoroscopy an imaging technique based on X-rays, the risk of developmental problems and cancer is increased in those subjects exposed to its application, so minimizing radiation is crucial. Alternative guiding systems such as electromagnetic navigation require specific equipment, increase the cost of the clinical procedure and still require fluoroscopy. In this paper we propose an image based guiding system based on the extraction of airway centres from intra-operative videos. Such anatomical landmarks are matched to the airway centreline extracted from a pre-planned CT to indicate the best path to the nodule. We present a
feasibility study of our navigation system using simulated bronchoscopic videos and a multi-expert validation of landmarks extraction in 3 intra-operative ultrathin explorations. |
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| Address | Porto; Portugal; February 2017 | ||||
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| Area | Expedition | Conference | VISAPP | ||
| Notes | IAM; 600.096; 600.075; 600.145 | Approved | no | ||
| Call Number | Admin @ si @ SEB2017 | Serial | 2943 | ||
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| Author | Alicia Fornes; Veronica Romero; Arnau Baro; Juan Ignacio Toledo; Joan Andreu Sanchez; Enrique Vidal; Josep Llados | ||||
| Title | ICDAR2017 Competition on Information Extraction in Historical Handwritten Records | Type | Conference Article | ||
| Year | 2017 | Publication |
14th International Conference on Document Analysis and Recognition | Abbreviated Journal | |
| Volume | Issue | Pages | 1389-1394 | ||
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| Abstract | The extraction of relevant information from historical handwritten document collections is one of the key steps in order to make these manuscripts available for access and searches. In this competition, the goal is to detect the named entities and assign each of them a semantic category, and therefore, to simulate the filling in of a knowledge database. This paper describes the dataset, the tasks, the evaluation metrics, the participants methods and the results. | ||||
| Address | Kyoto; Japan; November 2017 | ||||
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| Area | Expedition | Conference | ICDAR | ||
| Notes | DAG; 600.097; 601.225; 600.121 | Approved | no | ||
| Call Number | Admin @ si @ FRB2017 | Serial | 3052 | ||
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| Author | Pau Riba; Anjan Dutta; Josep Llados; Alicia Fornes; Sounak Dey | ||||
| Title | Improving Information Retrieval in Multiwriter Scenario by Exploiting the Similarity Graph of Document Terms | Type | Conference Article | ||
| Year | 2017 | Publication |
14th International Conference on Document Analysis and Recognition | Abbreviated Journal | |
| Volume | Issue | Pages | 475-480 | ||
| Keywords | document terms; information retrieval; affinity graph; graph of document terms; multiwriter; graph diffusion | ||||
| Abstract | Information Retrieval (IR) is the activity of obtaining information resources relevant to a questioned information. It usually retrieves a set of objects ranked according to the relevancy to the needed fact. In document analysis, information retrieval receives a lot of attention in terms of symbol and word spotting. However, through decades the community mostly focused either on printed or on single writer scenario, where the
state-of-the-art results have achieved reasonable performance on the available datasets. Nevertheless, the existing algorithms do not perform accordingly on multiwriter scenario. A graph representing relations between a set of objects is a structure where each node delineates an individual element and the similarity between them is represented as a weight on the connecting edge. In this paper, we explore different analytics of graphs constructed from words or graphical symbols, such as diffusion, shortest path, etc. to improve the performance of information retrieval methods in multiwriter scenario |
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| Area | Expedition | Conference | ICDAR | ||
| Notes | DAG; 600.097; 601.302; 600.121 | Approved | no | ||
| Call Number | Admin @ si @ RDL2017a | Serial | 3053 | ||
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| Author | Anjan Dutta; Pau Riba; Josep Llados; Alicia Fornes | ||||
| Title | Pyramidal Stochastic Graphlet Embedding for Document Pattern Classification | Type | Conference Article | ||
| Year | 2017 | Publication |
14th International Conference on Document Analysis and Recognition | Abbreviated Journal | |
| Volume | Issue | Pages | 33-38 | ||
| Keywords | graph embedding; hierarchical graph representation; graph clustering; stochastic graphlet embedding; graph classification | ||||
| Abstract | Document pattern classification methods using graphs have received a lot of attention because of its robust representation paradigm and rich theoretical background. However, the way of preserving and the process for delineating documents with graphs introduce noise in the rendition of underlying data, which creates instability in the graph representation. To deal with such unreliability in representation, in this paper, we propose Pyramidal Stochastic Graphlet Embedding (PSGE).
Given a graph representing a document pattern, our method first computes a graph pyramid by successively reducing the base graph. Once the graph pyramid is computed, we apply Stochastic Graphlet Embedding (SGE) for each level of the pyramid and combine their embedded representation to obtain a global delineation of the original graph. The consideration of pyramid of graphs rather than just a base graph extends the representational power of the graph embedding, which reduces the instability caused due to noise and distortion. When plugged with support vector machine, our proposed PSGE has outperformed the state-of-the-art results in recognition of handwritten words as well as graphical symbols |
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| Area | Expedition | Conference | ICDAR | ||
| Notes | DAG; 600.097; 601.302; 600.121 | Approved | no | ||
| Call Number | Admin @ si @ DRL2017 | Serial | 3054 | ||
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| Author | Juan Ignacio Toledo; Sounak Dey; Alicia Fornes; Josep Llados | ||||
| Title | Handwriting Recognition by Attribute embedding and Recurrent Neural Networks | Type | Conference Article | ||
| Year | 2017 | Publication |
14th International Conference on Document Analysis and Recognition | Abbreviated Journal | |
| Volume | Issue | Pages | 1038-1043 | ||
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| Abstract | Handwriting recognition consists in obtaining the transcription of a text image. Recent word spotting methods based on attribute embedding have shown good performance when recognizing words. However, they are holistic methods in the sense that they recognize the word as a whole (i.e. they find the closest word in the lexicon to the word image). Consequently,
these kinds of approaches are not able to deal with out of vocabulary words, which are common in historical manuscripts. Also, they cannot be extended to recognize text lines. In order to address these issues, in this paper we propose a handwriting recognition method that adapts the attribute embedding to sequence learning. Concretely, the method learns the attribute embedding of patches of word images with a convolutional neural network. Then, these embeddings are presented as a sequence to a recurrent neural network that produces the transcription. We obtain promising results even without the use of any kind of dictionary or language model |
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| Area | Expedition | Conference | ICDAR | ||
| Notes | DAG; 600.097; 601.225; 600.121 | Approved | no | ||
| Call Number | Admin @ si @ TDF2017 | Serial | 3055 | ||
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