Search Results for author: Marc Bolaños

Found 16 papers, 8 papers with code

Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants

no code implementations14 Nov 2017 Eduardo Aguilar, Beatriz Remeseiro, Marc Bolaños, Petia Radeva

The increase in awareness of people towards their nutritional habits has drawn considerable attention to the field of automatic food analysis.

Exploring Food Detection using CNNs

no code implementations14 Sep 2017 Eduardo Aguilar, Marc Bolaños, Petia Radeva

One of the most common critical factors directly related to the cause of a chronic disease is unhealthy diet consumption.

Food Recognition

Food Recognition using Fusion of Classifiers based on CNNs

no code implementations14 Sep 2017 Eduardo Aguilar, Marc Bolaños, Petia Radeva

With the arrival of convolutional neural networks, the complex problem of food recognition has experienced an important improvement in recent years.

Food Recognition General Classification

Food Ingredients Recognition through Multi-label Learning

2 code implementations27 Jul 2017 Marc Bolaños, Aina Ferrà, Petia Radeva

Automatically constructing a food diary that tracks the ingredients consumed can help people follow a healthy diet.

Multi-Label Classification Multi-Label Learning

Serious Games Application for Memory Training Using Egocentric Images

no code implementations27 Jul 2017 Gabriel Oliveira-Barra, Marc Bolaños, Estefania Talavera, Adrián Dueñas, Olga Gelonch, Maite Garolera

Mild cognitive impairment is the early stage of several neurodegenerative diseases, such as Alzheimer's.

R-Clustering for Egocentric Video Segmentation

no code implementations10 Apr 2017 Estefania Talavera, Mariella Dimiccoli, Marc Bolaños, Maedeh Aghaei, Petia Radeva

In this paper, we present a new method for egocentric video temporal segmentation based on integrating a statistical mean change detector and agglomerative clustering(AC) within an energy-minimization framework.

Video Segmentation Video Semantic Segmentation

Egocentric Video Description based on Temporally-Linked Sequences

1 code implementation7 Apr 2017 Marc Bolaños, Álvaro Peris, Francisco Casacuberta, Sergi Soler, Petia Radeva

We propose a novel methodology that exploits information from temporally neighboring events, matching precisely the nature of egocentric sequences.

Video Description

Can a CNN Recognize Catalan Diet?

no code implementations29 Jul 2016 Pedro Herruzo, Marc Bolaños, Petia Radeva

In a complete diet recognition of dishes from Mediterranean diet, enlarged with the Food-101 dataset for international dishes recognition, we achieve a top-1 accuracy of 68. 07\%, and top-5 of 89. 53\%, for a total of 115+101 food classes.

Food Recognition Image Classification

Simultaneous Food Localization and Recognition

no code implementations27 Apr 2016 Marc Bolaños, Petia Radeva

The development of automatic nutrition diaries, which would allow to keep track objectively of everything we eat, could enable a whole new world of possibilities for people concerned about their nutrition patterns.

Nutrition Object Localization

Video Description using Bidirectional Recurrent Neural Networks

1 code implementation12 Apr 2016 Álvaro Peris, Marc Bolaños, Petia Radeva, Francisco Casacuberta

Although traditionally used in the machine translation field, the encoder-decoder framework has been recently applied for the generation of video and image descriptions.

Text Generation Translation +2

SR-Clustering: Semantic Regularized Clustering for Egocentric Photo Streams Segmentation

1 code implementation22 Dec 2015 Mariella Dimiccoli, Marc Bolaños, Estefania Talavera, Maedeh Aghaei, Stavri G. Nikolov, Petia Radeva

While wearable cameras are becoming increasingly popular, locating relevant information in large unstructured collections of egocentric images is still a tedious and time consuming processes.

Semantic Summarization of Egocentric Photo Stream Events

1 code implementation2 Nov 2015 Aniol Lidon, Marc Bolaños, Mariella Dimiccoli, Petia Radeva, Maite Garolera, Xavier Giró-i-Nieto

With the rapid increase of users of wearable cameras in recent years and of the amount of data they produce, there is a strong need for automatic retrieval and summarization techniques.

Image Retrieval

Towards Storytelling from Visual Lifelogging: An Overview

no code implementations22 Jul 2015 Marc Bolaños, Mariella Dimiccoli, Petia Radeva

Visual lifelogging consists of acquiring images that capture the daily experiences of the user by wearing a camera over a long period of time.

Visual Summary of Egocentric Photostreams by Representative Keyframes

1 code implementation5 May 2015 Marc Bolaños, Ricard Mestre, Estefanía Talavera, Xavier Giró-i-Nieto, Petia Radeva

Building a visual summary from an egocentric photostream captured by a lifelogging wearable camera is of high interest for different applications (e. g. memory reinforcement).

Ego-Object Discovery

1 code implementation7 Apr 2015 Marc Bolaños, Petia Radeva

Given an egocentric video/images sequence acquired by the camera, our algorithm uses both the appearance extracted by means of a convolutional neural network and an object refill methodology that allows to discover objects even in case of small amount of object appearance in the collection of images.

Object Discovery

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