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| Author | Jaume Amores; Petia Radeva | ||||
Title  |
Elastic Matching and Retrieval of IVUS Images Using Contextual Information | Type | Miscellaneous | ||
| Year | 2003 | Publication | 6th Catalan Conference on Artificial Intelligence (CCIA 2003), 137–148 | Abbreviated Journal | |
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| Address | Palma de Mallorca | ||||
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| Notes | ADAS;MILAB | Approved | no | ||
| Call Number | ADAS @ adas @ AmR2003a | Serial | 364 | ||
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| Author | I. Payan | ||||
| Title |
El uso del recalaje en la construccion de imagenes de superresolucion | Type | Report | ||
| Year | 2001 | Publication | CVC Technical Report #50 | Abbreviated Journal | |
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| Address | CVC (UAB) | ||||
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| Notes | Approved | no | |||
| Call Number | Admin @ si @ Pay2001 | Serial | 201 | ||
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| Author | J.L.Bruguera; R.Casado; M.Martinez; I.Corral; Enric Marti; L.A.Branda | ||||
| Title |
El apoyo institucional como elemento favorecedor de la coordinación docente: experiencias en diferentes universidades | Type | Miscellaneous | ||
| Year | 2009 | Publication | Revista Red-U | Abbreviated Journal | |
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| Notes | IAM | Approved | no | ||
| Call Number | IAM @ iam @ BCM2009 | Serial | 1490 | ||
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| Author | Eduard Vazquez; Maria Vanrell | ||||
| Title |
Eines per al desenvolupament de competencies de enginyeria en un assignatura de Intel·ligencia Artificial | Type | Miscellaneous | ||
| Year | 2008 | Publication | V Jornades d’Innovacio Docent (UAB) | Abbreviated Journal | |
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| Address | Bellaterra (Spain) | ||||
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ VaV2008 | Serial | 1011 | ||
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| Author | Ricardo Toledo; X. Orriols; Petia Radeva; X. Binefa; Jordi Vitria; Cristina Cañero; Juan J. Villanueva | ||||
| Title |
Eigensnakes for vessel segmentation in angiography. | Type | Conference Article | ||
| Year | 2000 | Publication | 15 th International Conference on Pattern Recognition | Abbreviated Journal | |
| Volume | 4 | Issue | Pages | 340-343 | |
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| Address | Barcelona. | ||||
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| Area | Expedition | Conference | ICPR | ||
| Notes | OR;MILAB;ADAS;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ TOR2000 | Serial | 235 | ||
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| Author | Laura Igual; Santiago Segui; Jordi Vitria; Fernando Azpiroz; Petia Radeva | ||||
| Title |
Eigenmotion-Based Detection of Intestinal Contractions | Type | Conference Article | ||
| Year | 2007 | Publication | Computer Analysis of Images and Patterns, 12th International Conference | Abbreviated Journal | |
| Volume | 4673 | Issue | Pages | 293–300 | |
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| Address | Vienna (Austria) | ||||
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| Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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| ISSN | ISBN | 978-3-540-74271-5 | Medium | ||
| Area | Expedition | Conference | CAIP | ||
| Notes | OR;MILAB;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ ISV2007a | Serial | 895 | ||
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| Author | Jordi Vitria; Petia Radeva; X. Binefa | ||||
| Title |
EigenHistograms: using low dimensional models of color distribution for real time object recognition | Type | Journal Article | ||
| Year | 1999 | Publication | Abbreviated Journal | ||
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| Address | Ljubliana, Slovenia, Springer-Verlag | ||||
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| Notes | OR;MILAB;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ VRB1999a | Serial | 29 | ||
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| Author | F. de la Torre; Jordi Vitria; Petia Radeva; J. Melenchon | ||||
| Title |
EigenFiltering for flexible Eigentracking. | Type | Conference Article | ||
| Year | 2000 | Publication | 15 th International Conference on Pattern Recognition | Abbreviated Journal | |
| Volume | 3 | Issue | Pages | 1118-1121 | |
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| Address | Barcelona. | ||||
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| Area | Expedition | Conference | ICPR | ||
| Notes | OR;MILAB;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ TVR2000 | Serial | 179 | ||
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| Author | Marc Bolaños; Alvaro Peris; Francisco Casacuberta; Sergi Solera; Petia Radeva | ||||
| Title |
Egocentric video description based on temporally-linked sequences | Type | Journal Article | ||
| Year | 2018 | Publication | Journal of Visual Communication and Image Representation | Abbreviated Journal | JVCIR |
| Volume | 50 | Issue | Pages | 205-216 | |
| Keywords | egocentric vision; video description; deep learning; multi-modal learning | ||||
| Abstract | Egocentric vision consists in acquiring images along the day from a first person point-of-view using wearable cameras. The automatic analysis of this information allows to discover daily patterns for improving the quality of life of the user. A natural topic that arises in egocentric vision is storytelling, that is, how to understand and tell the story relying behind the pictures.
In this paper, we tackle storytelling as an egocentric sequences description problem. We propose a novel methodology that exploits information from temporally neighboring events, matching precisely the nature of egocentric sequences. Furthermore, we present a new method for multimodal data fusion consisting on a multi-input attention recurrent network. We also release the EDUB-SegDesc dataset. This is the first dataset for egocentric image sequences description, consisting of 1,339 events with 3,991 descriptions, from 55 days acquired by 11 people. Finally, we prove that our proposal outperforms classical attentional encoder-decoder methods for video description. |
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| Notes | MILAB; no proj | Approved | no | ||
| Call Number | Admin @ si @ BPC2018 | Serial | 3109 | ||
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| Author | G. de Oliveira; Mariella Dimiccoli; Petia Radeva | ||||
| Title |
Egocentric Image Retrieval With Deep Convolutional Neural Networks | Type | Conference Article | ||
| Year | 2016 | Publication | 19th International Conference of the Catalan Association for Artificial Intelligence | Abbreviated Journal | |
| Volume | Issue | Pages | 71-76 | ||
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| Address | Barcelona; Spain; October 2016 | ||||
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| Area | Expedition | Conference | CCIA | ||
| Notes | MILAB | Approved | no | ||
| Call Number | Admin @ si @ODR2016 | Serial | 2790 | ||
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| Author | Yifan Wang; Luka Murn; Luis Herranz; Fei Yang; Marta Mrak; Wei Zhang; Shuai Wan; Marc Gorriz Blanch | ||||
| Title |
Efficient Super-Resolution for Compression Of Gaming Videos | Type | Conference Article | ||
| Year | 2023 | Publication | IEEE International Conference on Acoustics, Speech and Signal Processing | Abbreviated Journal | |
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| Abstract | Due to the increasing demand for game-streaming services, efficient compression of computer-generated video is more critical than ever, especially when the available bandwidth is low. This paper proposes a super-resolution framework that improves the coding efficiency of computer-generated gaming videos at low bitrates. Most state-of-the-art super-resolution networks generalize over a variety of RGB inputs and use a unified network architecture for frames of different levels of degradation, leading to high complexity and redundancy. Since games usually consist of a limited number of fixed scenarios, we specialize one model for each scenario and assign appropriate network capacities for different QPs to perform super-resolution under the guidance of reconstructed high-quality luma components. Experimental results show that our framework achieves a superior quality-complexity trade-off compared to the ESRnet baseline, saving at most 93.59% parameters while maintaining comparable performance. The compression efficiency compared to HEVC is also improved by more than 17% BD-rate gain. | ||||
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| Area | Expedition | Conference | ICASSP | ||
| Notes | LAMP; MACO | Approved | no | ||
| Call Number | Admin @ si @ WMH2023 | Serial | 3911 | ||
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| Author | Marçal Rusiñol; David Aldavert; Ricardo Toledo; Josep Llados | ||||
| Title |
Efficient segmentation-free keyword spotting in historical document collections | Type | Journal Article | ||
| Year | 2015 | Publication | Pattern Recognition | Abbreviated Journal | PR |
| Volume | 48 | Issue | 2 | Pages | 545–555 |
| Keywords | Historical documents; Keyword spotting; Segmentation-free; Dense SIFT features; Latent semantic analysis; Product quantization | ||||
| Abstract | In this paper we present an efficient segmentation-free word spotting method, applied in the context of historical document collections, that follows the query-by-example paradigm. We use a patch-based framework where local patches are described by a bag-of-visual-words model powered by SIFT descriptors. By projecting the patch descriptors to a topic space with the latent semantic analysis technique and compressing the descriptors with the product quantization method, we are able to efficiently index the document information both in terms of memory and time. The proposed method is evaluated using four different collections of historical documents achieving good performances on both handwritten and typewritten scenarios. The yielded performances outperform the recent state-of-the-art keyword spotting approaches. | ||||
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| Notes | DAG; ADAS; 600.076; 600.077; 600.061; 601.223; 602.006; 600.055 | Approved | no | ||
| Call Number | Admin @ si @ RAT2015a | Serial | 2544 | ||
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| Author | Mohammad Ali Bagheri; Qigang Gao; Sergio Escalera | ||||
| Title |
Efficient pairwise classification using Local Cross Off strategy | Type | Conference Article | ||
| Year | 2012 | Publication | 25th Canadian Conference on Artificial Intelligence | Abbreviated Journal | |
| Volume | 7310 | Issue | Pages | 25-36 | |
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| Abstract | The pairwise classification approach tends to perform better than other well-known approaches when dealing with multiclass classification problems. In the pairwise approach, however, the nuisance votes of many irrelevant classifiers may result in a wrong prediction class. To overcome this problem, a novel method, Local Crossing Off (LCO), is presented and evaluated in this paper. The proposed LCO system takes advantage of nearest neighbor classification algorithm because of its simplicity and speed, as well as the strength of other two powerful binary classifiers to discriminate between two classes. This paper provides a set of experimental results on 20 datasets using two base learners: Neural Networks and Support Vector Machines. The results show that the proposed technique not only achieves better classification accuracy, but also is computationally more efficient for tackling classification problems which have a relatively large number of target classes. | ||||
| Address | Toronto, Ontario | ||||
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| Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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| ISSN | 0302-9743 | ISBN | 978-3-642-30352-4 | Medium | |
| Area | Expedition | Conference | AI | ||
| Notes | HuPBA;MILAB | Approved | no | ||
| Call Number | Admin @ si @ BGE2012c | Serial | 2044 | ||
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| Author | Angel Sappa; Fadi Dornaika; David Geronimo; Antonio Lopez | ||||
| Title |
Efficient On-Board Stereo Vision Pose Estimation | Type | Conference Article | ||
| Year | 2007 | Publication | Computer Aided Systems Theory, Selected paper from | Abbreviated Journal | |
| Volume | 4739 | Issue | Pages | 1183–1190 | |
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| Abstract | This paper presents an efficient technique for real time estimation of on-board stereo vision system pose. The whole process is performed in the Euclidean space and consists of two stages. Initially, a compact representation of the original 3D data points is computed. Then, a RANSAC based least squares approach is used for fitting a plane to the 3D road points. Fast RANSAC fitting is obtained by selecting points according to a probability distribution function that takes into account the density of points at a given depth. Finally, stereo camera position
and orientation—pose—is computed relative to the road plane. The proposed technique is intended to be used on driver assistance systems for applications such as obstacle or pedestrian detection. A real time performance is reached. Experimental results on several environments and comparisons with a previous work are presented. |
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| Address | Las Palmas de Gran Canaria (Spain) | ||||
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| Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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| Area | Expedition | Conference | EUROCAST | ||
| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ SDG2007b | Serial | 916 | ||
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| Author | Jaume Amores; N. Sebe; Petia Radeva | ||||
| Title |
Efficient Object-Class Recognition by Boosting Contextual Information | Type | Miscellaneous | ||
| Year | 2005 | Publication | Pattern Recognition and Image Analysis, IbPRIA 2005, LNCS 3522:28–35 | Abbreviated Journal | |
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| Address | Estoril (Portugal) | ||||
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| Notes | ADAS;MILAB | Approved | no | ||
| Call Number | ADAS @ adas @ ASR2005b | Serial | 554 | ||
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