Due to a security breach on the wiki, the developer documentation was spammed by a bot net, leading to a warning from my hosting company to get it under control. After getting it under control by basically taking the wiki online and replacing it with a static error page, we cam up with a new way of handling the developer documentation.
First it’s now based on markdown files, which are located in the LIRE source SVN. We are using MkDocs, an awesome python script, to generate the static html files and serve them from the former wiki location.
So how to contribute now? It’s rather easy: Either write a new markdown file for a topic, or checkout an existing one, edit it to your will and send us a patch on the mailing list.
It’s been more than a year since we made a release, so there have been lots of changes, fixes and new features. Most important of all is the integration of the SIMPLE descriptor, a local feature that works extremely well for content based image retrieval. This has been done with a lot of help from Nektarios Anagnostopoulos and Savvas Chatzichristofis!
Besides that we switched to OpenCV for SURF and SIFT extraction, added numerous bug fixes, updated Lucene to 4.10.2 and much more. Best you give it a try.
>> Head over to the downloads
I just put up the new LIRE demo at http://demo-itec.uni-klu.ac.at/liredemo/. It’s based on the LIRE Solr plugin, which now supports arbitrary LIRE features and has been updated to fit the current Solr version 4.10.2.
Check out the new search options for searching for tags in combination with image similarity. Basically you can use the first parameter box to search for any string (ie. tags:dog) and the use the sort option below the images to re-rank the images according to the similarity of the selected picture.
Btw. thanks go to my department, the Department of Information Technology at the Faculty of Technical Sciences of the Alpen-Adria-Universität Klagenfurt for running the demo on their servers.
Our submission to the interactive Art Track of ACM Multimedia 2014 has been accepted: “Gone: An Interactive Experience for Two People” by Michael Riegler, Mathias Lux, Christian Zellot, Lukas Knoch, Horst Schnattler, Sabrina Napetschnig, Julian Kogler, Claus Degendorfer, Norbert Spot und Manuel Zoderer.
Our project is an interactive installation, where two people interact based solely on audio clues triggered by one person. The other person moves an avatar through a virtual space base on the audio clues.
The software for the installation is open source and available on bitbucket.
I just got word that our joint submission with Giuseppe Becchi, Marco Bertini and colleagues from Firenze has been accepted for presentation and publication at the open source software track at ACM Multimedia 2014 in Orlando, FL:
Giuseppe Becchi, Marco Bertini, Lorenzo Cioni, Alberto Del Bimbo, Andrea Ferracani, Daniele Pezzatini and Mathias Lux (2014) Loki+Lire: A Framework to Create Web-Based Multimedia Search Engines, in Proceedings ACM Multimedia 2014, Orlando, FL (to appear )
Check the web site for more information: Loki: A Cross-Media Search Engine
The power of crowds – leveraging a large number of human contributors and the capabilities of human computation – has enormous potential to address key challenges in the area of multimedia research. Crowdsourcing offers a time- and resource-efficient method for collecting large volumes of input for system design and evaluation, making it possible to optimize multimedia systems more rapidly and to address human factors more effectively. At present, crowdsourcing remains notoriously difficult to exploit effectively in multimedia settings: the challenge arises from the fact that a community of users or workers is a complex and dynamic system highly sensitive to changes in the form and the parameterization of their activities.
The submission deadline has been extended to July 15, 2014
The third CrowdMM workshop takes place in Orlando, FL, right along ACM Multimedia 2014. For more information, topics and important dates visit: http://www.crowdmm.org/call-for-papers/
Intelligent algorithms for data mining and information retrieval are the key technology to cope with the information need challenges in our media-centered society. Methods for text-based information retrieval receive special attention, which results from the important role of written text, from the high availability of the World Wide Web, and from the enormous impact of Web communities and social media on our life.
The development of advanced information retrieval solutions requires the understanding and the combination of methods from different research areas, including machine learning, data mining, computer linguistics, artificial intelligence, user interaction and modeling, Web engineering, or distributed systems. This workshop provides a common platform for presenting and discussing new solutions, novel ideas, or specific tools focusing on text-based information retrieval. The following list organizes classic and ongoing topics for which contributions are welcome, but are not limited to:
- Theory. Retrieval models, language models, similarity measures, formal analysis
- Web Search. Ranking, indexing, semantic search, query classification and segmentation, relevance feedback, vertical search
- Personalization and User Mining. Just-in-time retrieval, personalized retrieval, context detection, profile mining
- Multilinguality. Cross-language retrieval, machine translation, language identification
- Evaluation. Corpus construction, experiment design, performance measures
- Text Mining and Classification. Web mining, text reuse, topic identification, sentiment analysis
- NLP. Information extraction, text summarization and simplification, named entity recognition, question answering
- Social Media Analysis. Community mining, social network analysis, trend analysis, information diffusion
- Information Quality. Text quality assessment, quality-based ranking, readability assessment, trust and author reputation
- Big Data Text Analytics. Parallel and distributed retrieval, online algorithms, scalability
- Semantic Web. Meta data analysis and tagging, knowledge extraction, inference, maintenance
The workshop is held for the eleventh time. In the past, it was characterized by a stimulating atmosphere, and it attracted high quality contributions from all over the world.
Accepted papers will appear in the proceedings of DEXA’14 Workshops published by the Conference Publishing Services (CPS) of IEEE Computer Society.
- Submissions to TIR 2014 must be original, unpublished contributions.
- Papers are limited to 5 pages in IEEE format (two columns, A4) and must be written in English.
- Submission is made electronically in PDF format using our conference management systemConfDriver.
- Submitted papers will be peer-reviewed by at least three experts from the related field.
- At least one author of each accepted paper is required to register for the DEXA’14 conference, attend the workshop, and present the paper.
- April 24, 2014: Deadline for paper submission (24:00 CET)
- May 12, 2014: Notification to authors
- May 20, 2014: Camera-ready copy due
- September 1 – 5, 2014: DEXA’14 conference
- Maik Anderka (Co-Chair), University of Paderborn, Germany
- Michael Granitzer (Co-Chair), University of Passau, Germany
- Benno Stein (Co-Chair), Bauhaus-Universität Weimar, Germany
See also http://tir.webis.de/
As an integral part of the ACM MMSys conference since 2011, the Dataset Track provides an opportunity for researchers and practitioners to make their work available (and citable) to the multimedia community. MMSys encourages and recognizes dataset sharing, and seeks contributions in all areas of multimedia (not limited to MM systems). Authors publishing datasets will benefit by increasing the public awareness of their effort in collecting the datasets.
Submission deadline is Nov. 11th 2013! Make sure not to miss it! See also the Call for Papers
Today I gave a talk on LIRE at the ACM Multimedia conference in the open source software competition, currently taking place in Barcelona. It gave me the opportunity to present a local installation of the LIRE Solr plugin and the possibilities thereof. Find the slides of the talk at slideshare: LIRE presentation at the ACM Multimedia Open Source Software Competition 2013
The Solr plugin itself is fully functional for Solr 4.4 and the source is available at https://bitbucket.org/dermotte/liresolr. There is a markdown document README.md explaining what can be done with plugin and how to actually install it. Basically it can do content based search, content based re-ranking of text searches and brings along a custom field implementation & sub linear search based on hashing.