Search Results - "2019 International Conference on Content-Based Multimedia Indexing (CBMI)"

Causality Inspired Retrieval of Human-object Interactions from Video by Zhou, Liting, Liu, Jianquan, Nishimura, Shoji, Antony, Joseph, Gurrin, Cathal

“…Notwithstanding recent advances in machine vision, video activity recognition from multiple cameras still remains a challenging task as many real-world…”
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Video Browser Showdown 2012-2019: A Review by Schoeffmann, Klaus

“…The Video Browser Showdown (VBS) is a challenging video retrieval competition annually performed at the International Conference on MultiMedia Modeling (MMM)…”
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Benchmark for Kitchen20, a daily life dataset for audio-based human action recognition by Moreaux, Marc, Ortiz, Michael Garcia, Ferrane, Isabelle, Lerasle, Frederic

“…This paper introduces a new raw-audio, environmental, kitchen-related, non-vocal dataset to fill what we consider as a gap in the context of audio datasets…”
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Identifying Surgical Instruments in Laparoscopy Using Deep Learning Instance Segmentation by Kletz, Sabrina, Schoeffmann, Klaus, Benois-Pineau, Jenny, Husslein, Heinrich

“…Recorded videos from surgeries have become an increasingly important information source for the field of medical endoscopy, since the recorded footage shows…”
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Learning Safety Equipment Detection using Virtual Worlds by di Benedetto, Marco, Meloni, Enrico, Amato, Giuseppe, Falchi, Fabrizio, Gennaro, Claudio

“…Nowadays, the possibilities offered by state-of-the-art deep neural networks allow the creation of systems capable of recognizing and indexing visual content…”
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Multi-Task Music Representation Learning from Multi-Label Embeddings by Schindler, Alexander, Knees, Peter

“…This paper presents a novel approach to music representation learning. Triplet loss based networks have become popular for representation learning in various…”
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Testing Deep Neural Networks on the Same-Different Task by Messina, Nicola, Amato, Giuseppe, Carrara, Fabio, Falchi, Fabrizio, Gennaro, Claudio

“…Developing abstract reasoning abilities in neural networks is an important goal towards the achievement of human-like performances on many tasks. As of now,…”
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Explaining Visual Classification using Attributes by ul Hassan, Muneeb, Mulhem, Philippe, Pellerin, Denis, Quenot, Georges

“…The performance of deep Convolutional Neural Networks (CNN) has been reaching or even exceeding the human level on large number of tasks. Some examples are…”
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Predicting Peek Readiness-to-Train of Soccer Players Using Long Short-Term Memory Recurrent Neural Networks by Wiik, Theodor, Johansen, Havard D., Pettersen, Svein-Arne, Baptista, Ivan, Kupka, Tomas, Johansen, Dag, Riegler, Michael, Halvorsen, Pal

“…We are witnessing the emergence of a myriad of hardware and software systems that quantifies sport and physical activities. These are frequently touted as game…”
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Heart Rate Prediction from Head Movement during Virtual Reality Treatment for Social Anxiety by Noori, Farzan Majeed, Kahlon, Smiti, Lindner, Philip, Nordgreen, Tine, Torresen, Jim, Riegler, Michael

“…Nowadays, virtual reality exposure therapy (VRET) is suggested as a way to treat social anxiety disorder (SAD), including the more specific fear of public…”
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A Comparison of CNN and Classic Features for Image Retrieval by Ozaydin, Umut, Georgiou, Theodoros, Lew, Michael

“…Feature detectors and descriptors have been successfully used for various computer vision tasks, such as video object tracking and content-based image…”
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THREAT: A Large Annotated Corpus for Detection of Violent Threats by Hammer, Hugo L., Riegler, Michael A., Ovrelid, Lilja, Velldal, Erik

“…Understanding, detecting, moderating and in extreme cases deleting hateful comments in online discussions and social media are well-known challenges. In this…”
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Semi-Automatic Multi-Object Video Annotation Based on Tracking, Prediction and Semantic Segmentation by Fernandez, Jaime B., Venkatesh, G. M., Zhang, Dian, Little, Suzanne, O'Connor, Noel E.

“…Instrumented and autonomous vehicles can generate very high volumes of video data per car per day all of which must be annotated at a high degree of…”
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Movie Genome Recommender: A Novel Recommender System Based on Multimedia Content by Deldjoo, Yashar, Schedl, Markus, Elahi, Mehdi

“…We present a demo application of a web-based recommender systems that is powered by the "Movie Genome", i.e., a rich semantic description of a movie's content,…”
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Classifier Training from a Generative Model by Dat, Pham Thanh, Dutt, Anuvabh, Pellerin, Denis, Quenot, Georges

“…We investigate the samples derived from generative adversarial networks (GAN) from a classification perspective. We train a classifier on generated samples and…”
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Multi-sensing of fragile persons for risk situation detection: devices, methods, challenges by Yebda, Thinhinane, Benois-Pineau, Jenny, Amieva, Helene, Frolicher, Benjamin

“…The ageing of the world population has raised ever-increasing demands for measuring physical conditions and assisting the elderly and/or fragile population at…”
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A Quantified-Self Framework for Exploring and Enhancing Personal Productivity by White, Gary, Liang, Zilu, Clarke, Siobhan

“…A variety of self-tracking applications and devices have been developed in recent years to support users in tracking their weight, calories eaten, physical…”
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Real-time Analysis of Physical Performance Parameters in Elite Soccer by Andreassen, Kim, Johansen, Dag, Johansen, Havard, Baptista, Ivan, Pettersen, Svein A., Riegler, Michael, Halvorsen, Pal

“…Technology is having vast impact on the sports industry, and in particular soccer. All over the world, soccer teams are adapting digital information systems to…”
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Retrieving Relevant and Diverse Movie Clips Using the MFVCD-7K Multifaceted Video Clip Dataset by Deldjoo, Yashar, Schedl, Markus

“…Multimedia search is an emerging area in information retrieval (IR) and recommender systems (RS) research. However, there is a lack of standardized audiovisual…”
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ShapeNet: Age-focused Landmark Shape Prediction with Regressive CNN by Zhang, Youshan, Davison, Brian D.

“…Deep neural networks are widely used in the segmentation and classification of medical images. However, little work has addressed the prediction of shapes…”
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