Abstract | ||
---|---|---|
The analysis of lectures and meetings inside smart rooms has recently attracted much interest in the literature, being the
focus of international projects and technology evaluations. A key enabler for progress in this area is the availability of
appropriate multimodal and multi-sensory corpora, annotated with rich human activity information during lectures and meetings.
This paper is devoted to exactly such a corpus, developed in the framework of the European project CHIL, “Computers in the
Human Interaction Loop”. The resulting data set has the potential to drastically advance the state-of-the-art, by providing
numerous synchronized audio and video streams of real lectures and meetings, captured in multiple recording sites over the
past 4 years. It particularly overcomes typical shortcomings of other existing databases that may contain limited sensory
or monomodal data, exhibit constrained human behavior and interaction patterns, or lack data variability. The CHIL corpus
is accompanied by rich manual annotations of both its audio and visual modalities. These provide a detailed multi-channel
verbatim orthographic transcription that includes speaker turns and identities, acoustic condition information, and named
entities, as well as video labels in multiple camera views that provide multi-person 3D head and 2D facial feature location
information. Over the past 3 years, the corpus has been crucial to the evaluation of a multitude of audiovisual perception
technologies for human activity analysis in lecture and meeting scenarios, demonstrating its utility during internal evaluations
of the CHIL consortium, as well as at the recent international CLEAR and Rich Transcription evaluations. The CHIL corpus is
publicly available to the research community. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1007/s10579-007-9054-4 | Language Resources and Evaluation |
Keywords | DocType | Volume |
Mutlimodal,Corpus,Annotation,Evaluation,Audio,Video | Journal | 41 |
Issue | ISSN | Citations |
3-4 | 1572-8412 | 35 |
PageRank | References | Authors |
1.60 | 3 | 17 |
Name | Order | Citations | PageRank |
---|---|---|---|
Djamel Mostefa | 1 | 359 | 35.40 |
Nicolas Moreau | 2 | 147 | 8.65 |
Khalid Choukri | 3 | 1100 | 153.56 |
Gerasimos Potamianos | 4 | 1113 | 113.80 |
Stephen M. Chu | 5 | 372 | 26.33 |
Ambrish Tyagi | 6 | 210 | 12.63 |
Josep R. Casas | 7 | 212 | 23.34 |
Jordi Turmo | 8 | 306 | 30.52 |
Luca Cristoforetti | 9 | 117 | 7.35 |
Francesco Tobia | 10 | 55 | 3.30 |
Aristodemos Pnevmatikakis | 11 | 226 | 27.09 |
Vasileios Mylonakis | 12 | 39 | 2.76 |
Fotios Talantzis | 13 | 65 | 6.22 |
Susanne Burger | 14 | 254 | 40.52 |
Rainer Stiefelhagen | 15 | 3512 | 274.86 |
Keni Bernardin | 16 | 764 | 32.03 |
Cedrick Rochet | 17 | 35 | 1.60 |