MediaEval 2018: Predicting Media Memorability

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Paper: http://ceur-ws.org/Vol-2283/MediaEval_18_paper_1.pdf Youtube: https://youtu.be/v48iHDcDwmw Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Mats Sjöberg, Bogdan Ionescu and Thanh-Toan Do, MediaEval 2018: Predicting Media Memorability. Proc. of MediaEval 2018, 29-31 October 2018, Sophia Antipolis, France. Abstract: In this paper, we present the Predicting Media Memorability task, which is proposed as part of the MediaEval 2018 Benchmarking Initiative for Multimedia Evaluation. Participants are expected to design systems that automatically predict memorability scores for videos, which reflect the probability of a video being remembered. In contrast to previous work in image memorability prediction, where memorability was measured a few minutes after memorization, the proposed dataset comes with "short-term" and "long-term" memorability annotations. All task characteristics are described, namely: the task’s challenges and breakthrough, the released data set and ground truth, the required participant runs and the evaluation metrics. Presented by Romain Cohendet

MediaEval’2018 – Task overview talk
Predicting Media Memorability

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Paper: http://ceur-ws.org/Vol-2882/paper11.pdf YouTube: https://youtu.be/fBPuacAZkxs Minh-Son Dao, Peijiang Zhao, Thanh Nguyen, Thanh Binh Nguyen, Duc Tien Dang Nguyen and Cathal Gurrin : Overview of MediaEval 2020 Insights for Wellbeing: Multimodal Personal Health Lifelog Data Analysis. Proc. of MediaEval 2020, 14-15 December 2020, Online. This paper provides a description of the MediaEval 2020 “Multimodal personal health lifelog data analysis". The purpose of this task is to develop approaches that process the environment data to obtain insights about personal wellbeing. Establishing the association between people’s wellbeing and properties of the surrounding environment which is vital for numerous research. Our task focuses on the internal associations of heterogeneous data. Participants create systems that derive insights from multimodal lifelog data that are important for health and wellbeing to tackle two challenging subtasks. The first task is to investigate whether we can use public/open data to predict personal air pollution data. The second task is to develop approaches to predict personal air quality index(AQI) using images captured by people (plus GAQD). This task targets (but is not limited to) researchers in the areas of multimedia information retrieval, machine learning, AI, data science, event-based processing and analysis, multimodal multimedia content analysis, lifelog data analysis, urban computing, environmental science, and atmospheric science. Presented by: Peijiang Zhao

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Ensemble based method for the classification of flooding event using social m...

Ensemble based method for the classification of flooding event using social m...

Ensemble based method for the classification of flooding event using social m...

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Flood Detection via Twitter Streams using Textual and Visual Features

Flood Detection via Twitter Streams using Textual and Visual Features

Flood Detection via Twitter Streams using Textual and Visual Features

Paper: http://ceur-ws.org/Vol-2882/paper34.pdf YouTube: https://youtu.be/3f_Q1WeulbI Naina Said, Kashif Ahmad, Asma Gul, Nasir Ahmad and Ala Al-Fuqaha : Floods Detection in Twitter Text and Images. Proc. of MediaEval 2020, 14-15 December 2020, Online. In this paper, we present our methods for the MediaEval 2020 Flood Related Multimedia task, which aims to analyze and combine textual and visual content from social media for the detection of real-world flooding events. The task mainly focuses on identifying floods related tweets relevant to a specific area. We propose several schemes to address the challenge. For text-based flood events detection, we use three different methods, relying on Bog of Words (BOW) and an Italian Version of Bert individually and in combination, achieving an F1-score of 0.77%, 0.68%, and 0.70% on the development set, respectively. For the visual analysis, we rely on features extracted via multiple state-of-the-art deep models pre-trained on ImageNet. The extracted features are then used to train multiple individual classifiers whose scores are then combined in a late fusion manner achieving an F1-score of 0.75%. For our mandatory multi-modal run, we combine the classification scores obtained with the best textual and visual schemes in a late fusion manner. Overall, better results are obtained with the multimodal scheme achieving an F1-score of 0.80% on the development set Presented by: Naina Said

Floods Detection in Twitter Text and Images

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Paper: http://ceur-ws.org/Vol-2882/paper19.pdf Rabiul Islam Jony and Alan Woodley : Flood Detection in Twitter Using a Novel Learning Method for Neural Networks. Proc. of MediaEval 2020, 14-15 December 2020, Online. In this paper we use a novel backpropagation technique, Direct Backpropagation (DBP) to train a neural network and use it to detect flooding in Twitter posts. We use the the textual information from the tweets and the visual features form the associated images to classify the posts into two categories, flood (1) and no-flood (0). We also fuse these two modes using fusion methods for the classification. For the classification task we employ a neural network that we train using our proposed method instead of typical backpropgation method. This work has been done in the context of the MediaEval 2020 Flood-Related Multimedia Task.

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Flood Detection in Twitter Using a Novel Learning Method for Neural Networks

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Paper: http://ceur-ws.org/Vol-2882/paper5.pdf YouTube: https://youtu.be/s2aVeW3ig0s Stelios Andreadis, Ilias Gialampoukidis, Anastasios Karakostas, Stefanos Vrochidis, Ioannis Kompatsiaris, Roberto Fiorin, Daniele Norbiato and Michele Ferri : The Flood-related Multimedia Task at MediaEval 2020. Proc. of MediaEval 2020, 14-15 December 2020, Online. This paper provides a description of the Flood-related Multimedia Task at MediaEval 2020. The primary goal of the task is to analyse and combine textual and visual content from social media data that reflect real-world events. The focus is on natural disasters and especially on flooding incidents, which are frequent around the globe and have large social consequences for communities and individuals. In particular, the task requires participants to identify Twitter posts that are relevant to flood events in a specific area of interest, based on their text and images. The automatic classification of posts as relevant or not relevant will essentially improve the quality of retrieved social media data, so that they can play a more valuable role in the emergency management. Presented by: Ilias Gialampoukidis

The Flood-related Multimedia Task at MediaEval 2020

The Flood-related Multimedia Task at MediaEval 2020

The Flood-related Multimedia Task at MediaEval 2020

Paper: http://ceur-ws.org/Vol-2882/paper70.pdf YouTube: https://youtu.be/45kTCVN2Avg Zeynep Pehlivan : On the pursuit of Fake News : From Graph Convolutional Networks to Time Series. Proc. of MediaEval 2020, 14-15 December 2020, Online. This paper presents the methods proposed by team INAFake team for MediaEval 2020 FakeNews: Corona virus and 5G conspiracy. We concentrate our work on the sub-task of structure-based fake news detection. Our aim is to test existing methods by leaning on temporal features of networks without taking any textual features into account. We applied two well known supervised graph classification approaches, graph convolutional layers (GCN) and Deep Graph Convolutional Neural Network (DGCNN). We also present the problem as a multivariate time series classification problem and tested multivariate long short term memory fully convolutional network method. Presented by: Zeynep Pehlivan

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Kürzlich hochgeladen

We explore different scenarios to explain the chemical difference found in the remarkable giant-giant binary system HD138202+CD−3012303. For the first time, we suggest how to distinguish these scenarios by taking advantage of the extensive convective envelopes of giant stars. Methods. We carried out a high-precision determination of stellar parameters and abundances by applying a full line-by-line differential analysis on GHOST high-resolution spectra. We used the FUNDPAR program with ATLAS12 model atmospheres and specific opacities calculated for an arbitrary composition through a doubly iterated method. Physical parameters were estimated with the isochrones package and evolutionary tracks were calculated via MIST models. Results. We found a significant chemical difference between the two stars (∆[Fe/H]∼0.08dex), which is largely unexpected considering the insensitivity of giant stars to planetary ingestion and diffusion effects. We tested the possibility of engulfment events by using several different combinations of stellar mass, ingested mass, metallicity of the engulfed object and different convective envelopes. However, the planetary ingestion scenario does not seem to explain the observed differences. For the first time, we distinguished the source of chemical differences using a giant-giant binary system. By ruling out other possible scenarios such as planet formation and evolutionary effects between the two stars, we suggest that primordial inhomogeneities might explain the observed differences. This remarkable result implies that the metallicity differences that were observed in at least some main-sequence binary systems might be related to primordial inhomogeneities rather than engulfment events. We also discuss the important implications of finding primordial inhomogeneities, which affect chemical tagging and other fields such as planet formation. We strongly encourage the use of giantgiant pairs. They are a relevant complement to main-sequence pairs for determining the origin of the observed chemical differences in multiple systems.

Disentangling the origin of chemical differences using GHOST

Disentangling the origin of chemical differences using GHOST

Disentangling the origin of chemical differences using GHOST

HotJupiters are amongthebest-studied exoplanets, but it is still poorly understood how their chemical composition and cloud properties vary with longitude. Theoretical models predict that clouds may condense on the nightside and that molecular abundances can be driven out of equilibrium by zonal winds. Here we report a phase-resolved emission spectrum of the hot Jupiter WASP-43b measured from 5–12µ 5–12µ 5–12µm with JWST’s Mid-Infrared Instrument (MIRI). 1524 ±35 1524 ±35 and 863±23 The spectra reveal a large day–night temperature contrast (with average brightness temperatures of 1524 ± 35 863 ±23 863 ±23Kelvin, respectively) and evidence for water absorption at all orbital phases. Comparisons with three-dimensional atmospheric models show that both the phase curve shape and emission spectra strongly suggest the presence of nightside clouds which become optically thick to thermal emission at pressures greater than ∼100mbar. The dayside is consistent with a cloudless atmosphere above the mid-infrared photosphere. Con3trary to expectations from equilibrium chemistry but consistent with disequilibrium kinetics models, methane is not detected on the nightside (2σ upper limit of 1–6 parts per million, depending on model assumptions).

Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b

Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b

Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b

RecoveringancientrecordsofEarth'smagneticfieldisessentialfordeterminingtheroleofthemagnetosphereinprotectingearlyEarthfromcosmicradiationandatmosphericescape.WepresentpaleomagneticfieldtestshintingthatarecordofEarth's3.7‐billion‐year(Ga)oldmagneticfieldmaybepreservedinthenortheasternIsuaSupracrustalBeltasachemicalremanentmagnetizationacquiredduringamphibolite‐grademetamorphisminthebandedironformation.MultiplepetrologicalandgeochronologicallinesofevidenceindicatethatthenorthernmostpartofIsuahasnotexperiencedmetamorphictemperaturesexceeding380°CsincetheEoarchean,suggestingtherockshavenotbeensignificantlyheatedsincemagnetizationwasacquired.Weuse“pseudo”bakedcontacttests(intrusionsemplaced3.26–3.5Gaago)andafoldtest(folding3.6Gaago)todemonstratethatsomesamplespreserveaca.3.7Garecordofthemagneticfield.Werecoverafieldstrengthof>15μT.ThissuggeststhatEarth'smagneticfieldmayhavebeenweakenoughtoenhanceatmosphericescapeduringtheArchean

PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...

PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...

PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...

Chromatin Structure | EUCHROMATIN | HETEROCHROMATIN

Chromatin Structure | EUCHROMATIN | HETEROCHROMATIN

Chromatin Structure | EUCHROMATIN | HETEROCHROMATIN

sankalpkumarsahoo174

Recombination DNA Technology (Nucleic Acid Hybridization )

Recombination DNA Technology (Nucleic Acid Hybridization )

Recombination DNA Technology (Nucleic Acid Hybridization )

aarthirajkumar25

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Biological Classification BioHack (3).pdf

Biological Classification BioHack (3).pdf

Biological Classification BioHack (3).pdf

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Sumit Kumar yadav

Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx

Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx

Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx

Zoology 4th semester series (krishna).pdf

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Zoology 4th semester series (krishna).pdf

Sumit Kumar yadav

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Presentation Vikram Lander by Vedansh Gupta.pptx

Presentation Vikram Lander by Vedansh Gupta.pptx

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GBSN - Biochemistry (Unit 1)

GBSN - Biochemistry (Unit 1)

GBSN - Biochemistry (Unit 1)

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Understanding circumstellar disks is of prime importance in astrophysics, however, their birth process remains poorly constrained due to observational and numerical challenges. Recent numerical works have shown that the small-scale physics, often wrapped into a sub-grid model, play a crucial role in disk formation and evolution. This calls for a combined approach in which both the protostar and circumstellar disk are studied in concert. Aims. We aim to elucidate the small scale physics and constrain sub-grid parameters commonly chosen in the literature by resolving the star-disk interaction. Methods. We carry out a set of very high resolution 3D radiative-hydrodynamics simulations that self-consistently describe the collapse of a turbulent dense molecular cloud core to stellar densities. We study the birth of the protostar, the circumstellar disk, and its early evolution (< 6 yr after protostellar formation). Results. Following the second gravitational collapse, the nascent protostar quickly reaches breakup velocity and sheds its surface material, thus forming a hot (∼ 103 K), dense, and highly flared circumstellar disk. The protostar is embedded within the disk, such that material can flow without crossing any shock fronts. The circumstellar disk mass quickly exceeds that of the protostar, and its kinematics are dominated by self-gravity. Accretion onto the disk is highly anisotropic, and accretion onto the protostar mainly occurs through material that slides on the disk surface. The polar mass flux is negligible in comparison. The radiative behavior also displays a strong anisotropy, as the polar accretion shock is shown to be supercritical whereas its equatorial counterpart is subcritical. We also f ind a remarkable convergence of our results with respect to initial conditions. Conclusions. These results reveal the structure and kinematics in the smallest spatial scales relevant to protostellar and circumstellar disk evolution. They can be used to describe accretion onto regions commonly described by sub-grid models in simulations studying larger scale physics.

Formation of low mass protostars and their circumstellar disks

Formation of low mass protostars and their circumstellar disks

Formation of low mass protostars and their circumstellar disks

Spermiogenesis or Spermateleosis or metamorphosis of spermatid

Spermiogenesis or Spermateleosis or metamorphosis of spermatid

Spermiogenesis or Spermateleosis or metamorphosis of spermatid

Sarthak Sekhar Mondal

CELL -Structural and Functional unit of life.pdf

CELL -Structural and Functional unit of life.pdf

CELL -Structural and Functional unit of life.pdf

Nistarini College, Purulia (W.B) India

Green chemistry and Sustainable development.pptx

Green chemistry and Sustainable development.pptx

Green chemistry and Sustainable development.pptx

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Recombinant DNA technology (Immunological screening)

Recombinant DNA technology (Immunological screening)

Recombinant DNA technology (Immunological screening)

PraveenaKalaiselvan1

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Disentangling the origin of chemical differences using GHOST

Disentangling the origin of chemical differences using GHOST

Disentangling the origin of chemical differences using GHOST

Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b

Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b

Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b

PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...

PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...

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Chromatin Structure | EUCHROMATIN | HETEROCHROMATIN

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Biological Classification BioHack (3).pdf

Biological Classification BioHack (3).pdf

Biological Classification BioHack (3).pdf

Botany krishna series 2nd semester Only Mcq type questions

Botany krishna series 2nd semester Only Mcq type questions

Botany krishna series 2nd semester Only Mcq type questions

Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx

Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx

Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx

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Zoology 4th semester series (krishna).pdf

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Presentation Vikram Lander by Vedansh Gupta.pptx

Presentation Vikram Lander by Vedansh Gupta.pptx

Presentation Vikram Lander by Vedansh Gupta.pptx

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GBSN - Biochemistry (Unit 1)

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Formation of low mass protostars and their circumstellar disks

Formation of low mass protostars and their circumstellar disks

Formation of low mass protostars and their circumstellar disks

Spermiogenesis or Spermateleosis or metamorphosis of spermatid

Spermiogenesis or Spermateleosis or metamorphosis of spermatid

Spermiogenesis or Spermateleosis or metamorphosis of spermatid

CELL -Structural and Functional unit of life.pdf

CELL -Structural and Functional unit of life.pdf

CELL -Structural and Functional unit of life.pdf

Green chemistry and Sustainable development.pptx

Green chemistry and Sustainable development.pptx

Green chemistry and Sustainable development.pptx

Recombinant DNA technology (Immunological screening)

Recombinant DNA technology (Immunological screening)

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MediaEval 2018: Predicting Media Memorability

1. MediaEval’2018 – Task overview talk Predicting Media Memorability

3. • • • • • • • McGaugh, 2000 2/8

4. … … 1/73/8

5. 1/74/8 dev-set test-set 8,000 2,000 (including the 500 most annotated videos)Videos Ground truth Nb of annotations Titles Pre-computed features ➢ ➢

6. Official results (Spearman corr.) on test-set for teams’ best runs ― 5/8

12. Results on the 500 most annotated videos (Spearman corr.) included in the test-set for teams’ best runs ― 6/8

16. 8/8 • • • •