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- research-articleJune 2024
lifeXplore at the Lifelog Search Challenge 2024
LSC '24: Proceedings of the 7th Annual ACM Workshop on the Lifelog Search ChallengeJune 2024, Pages 64–69https://doi.org/10.1145/3643489.3661123Building on the success of lifeXplore 2023, which is the winner system of last year's Lifelog Search Challenge (LSC2023), we present a lifelog retrieval system that is both easy-to-use and effective in retrieving lifelog data. lifeXplore 2024 employs ...
- short-paperJuly 2023
TIB AV-Analytics: A Web-based Platform for Scholarly Video Analysis and Film Studies
- Matthias Springstein,
- Markos Stamatakis,
- Margret Plank,
- Julian Sittel,
- Roman Mauer,
- Oksana Bulgakowa,
- Ralph Ewerth,
- Eric Müller-Budack
SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information RetrievalJuly 2023, Pages 3195–3199https://doi.org/10.1145/3539618.3591820Video analysis platforms that integrate automatic solutions for multimedia and information retrieval enable various applications in many disciplines including film and media studies, communication science, and education. However, current platforms for ...
- research-articleJune 2023
lifeXplore at the Lifelog Search Challenge 2023
LSC '23: Proceedings of the 6th Annual ACM Lifelog Search ChallengeJune 2023, Pages 53–58https://doi.org/10.1145/3592573.3593105Searching substantial data archives of lifeloggers is a challenging task. The Lifelog Search Challenge (LSC) is an annually held competition with the aim of encouraging international teams to develop interactive content retrieval systems capable of ...
- short-paperOctober 2020
Cottontail DB: An Open Source Database System for Multimedia Retrieval and Analysis
MM '20: Proceedings of the 28th ACM International Conference on MultimediaOctober 2020, Pages 4465–4468https://doi.org/10.1145/3394171.3414538Multimedia retrieval and analysis are two important areas in "Big data" research. They have in common that they work with feature vectors as proxies for the media objects themselves. Together with metadata such as textual descriptions or numbers, these ...
- research-articleJanuary 2018
Indexing and searching point clouds
- Miguel Ramírez-Chacón,
- Hugo Hidalgo-Silva,
- Edgar Chávez,
- David Pinto,
- Vivek Kumar Singh,
- Aline Villavicencio,
- Philipp Mayr-Schlegel,
- Efstathios Stamatatos
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 34, Issue 52018, Pages 3349–3358https://doi.org/10.3233/JIFS-169516Many multimedia objects accept an abstract representation as point sets, or point clouds, in the plane. Searching for objects in a collection is traduced to searching for matching point clouds. In this paper algorithms and data structures are given for ...
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- research-articleOctober 2017
Beyond Concept Detection: The Potential of User Intent for Image Retrieval
MUSA2 '17: Proceedings of the Workshop on Multimodal Understanding of Social, Affective and Subjective AttributesOctober 2017, Pages 11–19https://doi.org/10.1145/3132515.3132521Behind each photographic act is a rationale that impacts the visual appearance of the resulting photo. Better understanding of this rationale has great potential to support image retrieval systems in serving user needs. However, at present, surprisingly ...
- abstractMarch 2017
Exploring the Role of Named Entities in Automatic Indexing
CHIIR '17: Proceedings of the 2017 Conference on Conference Human Information Interaction and RetrievalMarch 2017, Pages 393–394https://doi.org/10.1145/3020165.3022166Due to a major digitization effort, the Norwegian Broadcasting Corporation, NRK, has made Norwegian cultural heritage from the last century of radio and TV available to the public. It is impossible to manually go through and index all the digitized ...
- short-paperMarch 2017
Categorization of Known-Item Search Terms in a TV Archive
CHIIR '17: Proceedings of the 2017 Conference on Conference Human Information Interaction and RetrievalMarch 2017, Pages 321–324https://doi.org/10.1145/3020165.3022143This paper reports on a preliminary explorative study that categorizes search terms provided by 50 users after having watched short clips from TV programs from The Norwegian Broadcasting Corporation archive. The aim of this study is to improve indexing ...
- research-articleJanuary 2017
Novel visual information indexing in relational databases
Integrated Computer-Aided Engineering (ICAE), Volume 24, Issue 22017, Pages 119–128https://doi.org/10.3233/ICA-160534This paper presents a novel relational database architecture aimed for visual objects classification and retrieval based on the content of images. Most methods search and classify images based on their content use algorithms for generating and comparing ...
- demonstrationOctober 2016
SceneTextReg: A Real-Time Video OCR System
MM '16: Proceedings of the 24th ACM international conference on MultimediaOctober 2016, Pages 698–700https://doi.org/10.1145/2964284.2973811We showcase a system for real-time video text recognition. The system is based on the standard workflow of text spotting system, which includes text detection and word recognition procedures. We apply deep neural networks in both procedures. In text ...
- surveyAugust 2016
User Intent in Multimedia Search: A Survey of the State of the Art and Future Challenges
ACM Computing Surveys (CSUR), Volume 49, Issue 2Article No.: 36, Pages 1–37https://doi.org/10.1145/2954930Today's multimedia search engines are expected to respond to queries reflecting a wide variety of information needs from users with different goals. The topical dimension (“what” the user is searching for) of these information needs is well studied; ...
- short-paperJune 2016
A Quality Adaptive Multimodal Affect Recognition System for User-Centric Multimedia Indexing
- Rishabh Gupta,
- Mojtaba Khomami Abadi,
- Jesús Alejandro Cárdenes Cabré,
- Fabio Morreale,
- Tiago H. Falk,
- Nicu Sebe
ICMR '16: Proceedings of the 2016 ACM on International Conference on Multimedia RetrievalJune 2016, Pages 317–320https://doi.org/10.1145/2911996.2912059The recent increase in interest for online multimedia streaming platforms has availed massive amounts of multimedia information that need to be indexed to be searchable and retrievable. User-centric implicit affective indexing employing emotion ...
- research-articleMay 2016
USED: a large-scale social event detection dataset
MMSys '16: Proceedings of the 7th International Conference on Multimedia SystemsMay 2016, Article No.: 50, Pages 1–6https://doi.org/10.1145/2910017.2910624Event discovery from single pictures is a challenging problem that has raised significant interest in the last decade. During this time, a number of interesting solutions have been proposed to tackle event discovery in still images. However, a large ...
- research-articleApril 2016
ClusMAM: fast and effective unsupervised clustering of large complex datasets using metric access methods
SAC '16: Proceedings of the 31st Annual ACM Symposium on Applied ComputingApril 2016, Pages 986–991https://doi.org/10.1145/2851613.2851661An efficient and effective clustering process is a core task of data mining analysis, and has become more important in the nowadays scenario of big data, where scalability is an issue. In this paper we present the ClusMAM method, which proposes a new ...
- research-articleJune 2015
An Improved System For Real-Time Scene Text Recognition
ICMR '15: Proceedings of the 5th ACM on International Conference on Multimedia RetrievalJune 2015, Pages 657–660https://doi.org/10.1145/2671188.2749352In this paper we showcase a system for real-time text detection and recognition. We apply deep features created by Convolutional Neural Networks (CNNs) for both text detection and word recognition task. For text detection we follow the common ...
- ArticleApril 2014
Feature Spaces and Machine Learning Regimes for Audio Classification: A Comparative Study
SIMS '14: Proceedings of the 2014 First International Conference on Systems Informatics, Modelling and SimulationApril 2014, Pages 127–131The rapid development in computer and internet technology resulted in a large amount of audio content. In order to retrieve and access contents an efficient audio classification system is required. This paper compares the performances of two machine ...
- ArticleDecember 2013
Efficient Content-Based Multimedia Retrieval Using Novel Indexing Structure in PostgreSQL
ISM '13: Proceedings of the 2013 IEEE International Symposium on MultimediaDecember 2013, Pages 500–501https://doi.org/10.1109/ISM.2013.96This demo paper presents a system based on PostgreSQL and the AH-Tree that supports Content-Based Image Retrieval (CBIR) through similarity queries. The AH-Tree is a balanced, tree-based index structure that utilizes high-level semantic information to ...
- demonstrationOctober 2013
Semantic dispatching of multimedia news with MEWS
MM '13: Proceedings of the 21st ACM international conference on MultimediaOctober 2013, Pages 427–428https://doi.org/10.1145/2502081.2502253Online news comes in rich multimedia form: video, audio, photos, in addition to traditional text. Recent advances in semantically-rich text processing, in speech-to-text processing, and in image processing allows us to develop new ways of presenting and ...
- research-articleOctober 2013
Multimedia retrieval that matters
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 9, Issue 1sArticle No.: 44, Pages 1–5https://doi.org/10.1145/2490827This article emphasizes the need to refocus multimedia information retrieval (MIR) research towards bridging the utility gap, the gap between the expected and defacto usefulness of MIR solutions. This requires us to revisit the notion of relevance, but ...
- ArticleAugust 2013
Sketch-Finder: Efficient and Effective Sketch-Based Retrieval for Large Image Collections
SIBGRAPI '13: Proceedings of the 2013 XXVI Conference on Graphics, Patterns and ImagesAugust 2013, Pages 234–241https://doi.org/10.1109/SIBGRAPI.2013.40Among various image retrieval approaches, the use of sketches lets one express a precise visual query with simple and widespread means. The challenge consists in finding a content representation that allows you to effectively compare sketches and images,...