6 Seconds of Sound and Vision: Creativity in Micro-Videos

The notion of creativity, as opposed to related concepts such as beauty or interestingness, has not been studied from the perspective of automatic analysis of multimedia content. Meanwhile, short online videos shared on social media platforms, or micro-videos, have arisen as a new medium for creative expression. In this paper we study creative micro-videos in an effort to understand the features that make a video creative, and to address the problem of automatic detection of creative content. Defining creative videos as those that are novel and have aesthetic value, we conduct a crowdsourcing experiment to create a dataset of over 3,800 micro-videos labelled as creative and non-creative. We propose a set of computational features that we map to the components of our definition of creativity, and conduct an analysis to determine which of these features correlate most with creative video. Finally, we evaluate a supervised approach to automatically detect creative video, with promising results, showing that it is necessary to model both aesthetic value and novelty to achieve optimal classification accuracy.Comment: 8 pages, 1 figures, conference IEEE CVPR 201

The effect of subspinal Le Fort I osteotomy and alar cinch suture on nasal widening

The aim of this retrospective study was to evaluate the relationships between upper jaw movements and nasal soft-tissue changes in patients who have undergone subspinal Le Fort I osteotomy combined with alar cinch suture.Single and multivariate linear regression analyses were used to examine the relationships between greatest inter-alar width (GAW) and maxillary advancement, maxillary impaction, and rotational movements. The database of our referral hospital was searched for patients who had undergone upper jaw surgery with a subspinal LFI osteotomy to correct dentoskeletal deformities between April 2012 and June 2016.Thirty-eight of the patients (15 men and 23 women) who were identified were eligible for inclusion. The average change in inter-alar width (Delta GAW) was +1.7 +/- 1.2 mm. GAW increased by 0.3 mm (p < 0.0001) for each millimetre of maxillary advancement, and increased by 0.5 mm (p < 0.0001) for each millimetre of maxillary impaction. GAW increased by 0.2 mm for each degree of counterclockwise rotation of the occlusal plane (p < 0.0001).An analysis of our data compared with the current literature confirmed that subspinal Le Fort I combined with alar cinch suture reduced alar base widening. (C) 2020 Published by Elsevier Ltd on behalf of European Association for Cranio-Maxillo-Facial Surgery

A simple and accurate dosimetry protocol to estimate activity for hyperthyroidism treatment

BACKGROUND: Aim of the study was to evaluate accuracy of different dosimetry protocols in estimating the required 131I activity to treat hyperthyroid patients. MATERIALS AND METHODS: Forty consecutive patients were analysed: twenty-eight Graves’ disease; twelve autonomous thyroid nodule (ATN). Maximum-uptake, effective half-time and residence-time were estimated from Radioiodine Uptake Test. Residence-time was estimated using a bi-compartmental model. For 131I activity calculation, algorithms laid down in European Association of Nuclear Medicine (EANM) guidelines, ICRP 53 approach and a mono-exponential formula (ME), were compared with OLINDA/EXM results. RESULTS: Based on EANM guidelines, activities to be administered were 3% higher in Graves’ disease (p = 0.001) and 3% higher in ATN (p = 0.046). Calculated activities using ICRP 53 approach were significantly lower compared to OLINDA/EXM: 33% in Graves’ disease; 17% in ATN. Activities recommended by ME, were significantly higher: in Graves’ disease 20%; 42% in ATN. CONCLUSIONS: Only EANM algorithm predict quite well, compared to OLINDA/EXM, the required activity to treat hyperthyroid patients

a simple and accurate dosimetry protocol to estimate activity for hyperthyroidism treatment

BACKGROUND: Aim of the study was to evaluate accuracy of different dosimetry protocols in estimating the required 131I activity to treat hyperthyroid patients. MATERIALS AND METHODS: Forty consecutive patients were analysed: twenty-eight Graves' disease; twelve autonomous thyroid nodule (ATN). Maximum-uptake, effective half-time and residence-time were estimated from Radioiodine Uptake Test. Residence-time was estimated using a bi-compartmental model. For 131I activity calculation, algorithms laid down in European Association of Nuclear Medicine (EANM) guidelines, ICRP 53 approach and a mono-exponential formula (ME), were compared with OLINDA/EXM results. RESULTS: Based on EANM guidelines, activities to be administered were 3% higher in Graves' disease (p = 0.001) and 3% higher in ATN (p = 0.046). Calculated activities using ICRP 53 approach were significantly lower compared to OLINDA/EXM: 33% in Graves' disease; 17% in ATN. Activities recommended by ME, were significantly higher: in Graves' disease 20%; 42% in ATN. CONCLUSIONS: Only EANM algorithm predict quite well, compared to OLINDA/EXM, the required activity to treat hyperthyroid patients

Exploiting implicit user activity for media recommendation

This thesis explores in depth how to use the user browsing behavior, and in particular the referrer URL, in order to understand the interest of the users. The aim is, first, to understand the preferences of the users from their navigation patterns, i.e., from the implicit actions of the users. Then, to exploit this information to personalize the content offered by the service provider. The key findings from our studies allowed us to propose different solutions in terms of recommender systems and ranking approaches for media items. We show how the browsing behavior of the users captured by the browsing logs is extremely meaningful to understand new users and to estimate their preferences.Esta tesis analiza de modo exhaustivo el comportamiento del usuario en la web y, en particular, su interacción con las URLs recomendadas, para así conocer sus intereses. El objetivo fundamental es, en primer lugar, entender las preferencias de usuario a partir de sus patrones de navegación por la web, estudiando sus acciones implícitas. En segundo lugar, se trata de aprovechar esta información para personalizar el contenido ofrecido por el proveedor de servicios. El resultado de estos estudios nos ha permitido proponer diferentes soluciones en términos de sistemas recomendadores y ranking de productos multimedia. De este modo, hemos podido demostrar cómo el comportamiento del usuario en la web, obtenido a partir de registros de navegación, es extremadamente útil para comprender a nuevos usuarios y poder así estimar sus preferencias

Retrieving Geo-Location of Videos with a Divide & Conquer Hierarchical Multimodal Approach

International audienceGeotagging is the process of automatically adding geographical identification metadata to media objects, in particular to images and videos. This geo-information is called geotag(s), and usually consists of the latitude and longitude world-map coordinates. Determining the place where the content has been captured dramatically extends the knowledge around the media object, especially when combined with time information. Linking time- and geographical-related content offers a new and practical way of automatically searching, organizing or visualizing personal and professional media databases. It also enables the retrieval of various relevant content such as web pages, hence providing users with a wide variety of location-specific information. In recent years, we have witnessed a dramatic increase in the number of such geotagged media data. Due to the massive spreading of GPS-enabled cameras and mobile phones, geographic coordinates are captured and attached to the content generated by these devices. However, most of the media available remain deprived of this information. For this reason, the problem of automatically assigning geotags to media content (and conversely) is a challenge that increasingly interests the Multimedia community, as reflected by the success of the Mediaeval benchmark's placing task

How INRIA/IRISA identifies Geographic Location of Videos

In this paper, we describe our approaches and their results as part of the MediaEval 2012 Placing Task evaluation. We present two different tag-based techniques. Both first preselect one or several geographic area of interest and then perform a deeper analysis inside the selected area(s) to return the coordinates more likely to be related with the input tags. In addition, we also implement a content-based method that uses aggregated local images descriptors (VLAD) to find the video’s visual nearest neighbors and infer its coordinates. In this work we do not use gazetteers or any other external information. 1