@conference {cdeOliveira-Barraa, title = {Large Scale Content-Based Video Retrieval with LIvRE}, booktitle = {14th International Workshop on Content-based Multimedia Indexing (CBMI)}, year = {2016}, month = {06/2016}, publisher = {IEEE}, organization = {IEEE}, address = {Bucharest, Romania}, abstract = {

The fast growth of video data requires robust, efficient, and scalable systems to allow for indexing and retrieval. These systems must be accessible from lightweight, portable and usable interfaces to help users in management and search of video content. This demo paper presents LIvRE, an extension of an existing open source tool for image retrieval to support video indexing. LIvRE consists of three main system components (pre-processing, indexing and retrieval), as well as a scalable and responsive HTML5 user interface accessible from a web browser. LIvRE supports image-based queries, which are efficiently matched with the extracted frames of the indexed videos.

}, author = {Gabriel de Oliveira-Barra and Lux, Mathias and Xavier Gir{\'o}-i-Nieto} } @conference {cRoldan-Carlosa, title = {Event Video Retrieval using Global and Local Descriptors in Visual Domain}, booktitle = {IEEE/ACM International Workshop on Content-Based Multimedia Indexing - CBMI 2015 }, year = {2015}, month = {06/2015}, abstract = {

With the advent of affordable multimedia smart phones, it has become common that people take videos when they are at events. The larger the event, the larger is the amount of videos taken there and also, the more videos get shared online. To search in this mass of videos is a challenging topic. In this paper we present and discuss a prototype software for searching in such videos. We focus only on visual information, and we report on experiments based on a research data set. With a small study we show that our prototype demonstrates promising results by identifying the same scene in different videos taken from different angles solely based on content based image retrieval.

}, url = {https://upcommons.upc.edu/handle/2117/76553}, author = {Roldan-Carlos, Jennifer and Lux, Mathias and Xavier Gir{\'o}-i-Nieto and Pia Mu{\~n}oz-Trallero and Anagnostopoulos, Nektarios} } @mastersthesis {xBarra, title = {LIvRE: A Video Extension to the LIRE Content-Based Image Retrieval System}, year = {2015}, abstract = {

Advisors:\ Mathias Lux\ (Klagenfurt University) and\ Xavier Gir{\'o}-i-Nieto\ (UPC)

Degree: Electronic Engineering (5 years) at\ Telecom BCN-ETSETB\ (UPC)

Grade: A (9.0/10.0)

This project explores the expansion of Lucene Image Retrieval Engine (LIRE), an open-source Content-Based Image Retrieval (CBIR) system, for video retrieval on large scale video datasets. The fast growth of the need to store huge amounts of video in servers requires efficient, scalable search and indexing engines capable to assist users in their management and retrieval. In our tool, queries are formulated by visual examples allowing users to find the videos and the moment of time when the query image is matched with. The video dataset used on this scenario comprise over 1,000 hours of different news broadcast channels. This thesis presents an extension and adaptation of Lire and its plugin for Solr, an open-source enterprise search platform from the Apache Lucene project, for video retrieval based on visual features, as well as a web-interface for users from different devices.

LIvRE: A Video Extension to the LIRE Content-Based Image Retrieval System from Xavier Giro
}, url = {http://upcommons.upc.edu/handle/2117/79052}, author = {Gabriel de Oliveira-Barra}, editor = {Xavier Gir{\'o}-i-Nieto and Lux, Mathias} } @conference {cRoldan-Carlos, title = {Visual Information Retrieval in Endoscopic Video Archives}, booktitle = {IEEE/ACM International Workshop on Content-Based Multimedia Indexing - CBMI 2015 }, year = {2015}, month = {06/2015}, address = {Prague, Czech Republic}, abstract = {

In endoscopic procedures, surgeons work with live video strea\-ms from the inside of their subjects. A main source for documentation of procedures are still frames from the video, identified and taken during the surgery. However, with growing demands and technical means, the streams are saved to storage servers and the surgeons need to retrieve parts of the videos on demand. In this submission we present a demo application allowing for video retrieval based on visual features and late fusion, which allows surgeons to re-find shots taken during the procedure.

[Paper on arXiv]

[CBMI 2015 Conference website]

Presented in the Special Session on Medical Multimedia Processing (acceptance rate for special sessions= 55\%)

}, url = {http://arxiv.org/abs/1504.07874}, author = {Roldan-Carlos, Jennifer and Lux, Mathias and Xavier Gir{\'o}-i-Nieto and Pia Mu{\~n}oz-Trallero and Anagnostopoulos, Nektarios} } @mastersthesis {xRoldan-Carlos, title = {Visual Search for Musical Performances and Endoscopic Videos}, year = {2015}, abstract = {

Advisors: Mathias Lux (Klagenfurt University) and\ Xavier Gir{\'o}-i-Nieto\ (UPC)

Degree: Electronic Engineering (5 years) at\ Telecom BCN-ETSETB\ (UPC)

Grade: A (9.5/10)

This project explores the potential of LIRE, an en existing Content-Based Image Retrieval (CBIR) system, when used to retrieve medical videos. These videos are recording of the live streams used by surgeons during the endoscopic procedures, captured from inside of the subject. The growth of such video content stored in servers requires search engines capable to assist surgeons in their management and retrieval. In our tool, queries are formulated by visual examples and those allow surgeons to re-find shots taken during the procedure. This thesis presents an extension and adaptation of Lire for video retrieval based on visual features and late fusion. The results are assessed from two perspectives: a quantitative and qualitative one. While the quantitative one follows the standard practices and metrics for video retrieval, the qualitative assessment has been based on an empirical social study using a semi-interactive web-interface. In particular, a thinking aloud test was applied to analyze if the user expectations and requirements were fulfilled. Due to the scarcity of surgeons available for the qualitative tests, a second domain was also addressed: videos captured at musical performances. These type of videos has also experienced an exponential growth with the advent of affordable multimedia smart phones, available to a large audience. Analogously to the endoscopic videos, searching in a large data set of such videos is a challenging topic.

}, url = {http://hdl.handle.net/2099.1/26032}, author = {Roldan-Carlos, Jennifer}, editor = {Xavier Gir{\'o}-i-Nieto and Lux, Mathias} }