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Towards More Robust Fashion Recognition by Combining of Deep-Learning-Based Detection with Semantic Reasoning

Achim Reiz, Mohamad Albadawi, Kurt Sandkuhl, Matthias Vahl, Dennis Sidin
2021 AAAI Spring Symposia  
We suggest a new approach for the combining of deep-learning-based recognition with a semantic reasoning engine.  ...  However, the tagging of videos comes with additional challenges: Preliminary, new deep-learning models need to be trained on vast amounts of data obtained in a labor-intensive data-collection process.  ...  The results shown here are based on the joint project "Kl-based object recognition and semanticsupported content analysis (KOSlnA)" which is co-financed by the European Union from the European Regional  ... 
dblp:conf/aaaiss/ReizASVS21 fatcat:vr7cytssmbcplnvmhv5xprfckm

Towards ontology driven learning of visual concept detectors [article]

Sanchit Arora, Chuck Cho, Paul Fitzpatrick, Francois Scharffe
2016 arXiv   pre-print
the user end, providing semantic search on a library of annotated videos.  ...  In this paper, we propose a system that combines neural techniques, a large scale visual concepts ontology, and an active learning loop, to provide on the fly model learning of arbitrary concepts.  ...  Semantic search on the annotated videos: A classic application of ontology based system is to provide semantic search.  ... 
arXiv:1605.09757v1 fatcat:pkway76tcrh3xpngzogls4vwqi

Systematic Review of Computer Vision Semantic Analysis in Socially Assistive Robotics

Antonio Victor Alencar Lundgren, Matheus Albert Oliveira dos Santos, Byron Leite Dantas Bezerra, Carmelo José Albanez Bastos-Filho
2022 AI  
The merging of these fields creates demand for more complex and autonomous solutions, often struggling with the lack of contextual understanding of tasks that semantic analysis can provide and hardware  ...  This work aimed to understand the current scope of science in the merging fields of computer vision and semantic analysis in lightweight models for robotic assistance.  ...  Ontologies As for ontologies, eight papers used this method of semantic analysis. Monroy et al.  ... 
doi:10.3390/ai3010014 fatcat:fplfxt2kdfbafhvxeye6odzsha

Cross-media analysis and reasoning: advances and directions

Yu-xin Peng, Wen-wu Zhu, Yao Zhao, Chang-sheng Xu, Qing-ming Huang, Han-qing Lu, Qing-hua Zheng, Tie-jun Huang, Wen Gao
2017 Frontiers of Information Technology & Electronic Engineering  
Cross-media analysis and reasoning is an active research area in computer science, and a promising direction for artificial intelligence.  ...  graph construction and learning methodologies; (4) cross-media knowledge evolution and reasoning; (5) cross-media description and generation; (6) cross-media intelligent engines; and (7) cross-media intelligent  ...  Acknowledgements The authors would like to thank Peng CUI, Shi-kui WEI, Ji-tao SANG, Shu-hui WANG, Jing LIU, and Bu-yue QIAN for their valuable discussions and assistance.  ... 
doi:10.1631/fitee.1601787 fatcat:dqnizhdlbfhpvodzkhv5nlarxq

Severity level assessment from semantically fused video content analysis for physical threat detection in ground segments of space systems

Antzoulatos Gerasimos, Orfanidis Georgios, Giannakeris Panagiotis, Tzanetis Giorgos, Kampilis-Stathopoulos Grigorios, Kopalidis Nikolaos, Gialampoukidis Ilias, Vrochidis Stefanos, Kompatsiaris Ioannis
2021 Zenodo  
Advanced machine learning techniques provide analysis of events and useful information, which are fused semantically and estimate the severity level of the potential attack, serving the needs for real-time  ...  In this landscape, the aim of this work focuses on proposing a framework that enables the identification of potential human-made threats, created by the usage of natural means and captured by heterogeneous  ...  The 7SHIELD ontology was based on Semantic Sensor Network (SSN) ontology and the OWL language was used.  ... 
doi:10.5281/zenodo.5567019 fatcat:fkvq3pgk3ndchgyftjrt3incui

Towards an ontology design pattern for UAV video content analysis

Danilo Cavaliere, Vincenzo Loia, Sabrina Senatore
2019 IEEE Access  
To this purpose, the paper proposes a systematic ontology modeling to support and improve video content analysis, by generating a comprehensive highlevel scene description, achieved by semantic reasoning  ...  The ontology schema comes from as an integration of new and existing ontologies and provides some design pattern guideline to get a highlevel description of a whole scenario.  ...  Deep learning, as reinforcement learning are established techniques used in Video Analysis and represent a solid basis on which to build our ontological modeling.  ... 
doi:10.1109/access.2019.2932442 fatcat:6mzafcwx4vhdfdqv6puwcrj7wy

Recent Advances in Zero-shot Recognition [article]

Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, and Shaogang Gong
2017 arXiv   pre-print
With the recent renaissance of deep convolution neural networks, encouraging breakthroughs have been achieved on the supervised recognition tasks, where each class has sufficient training data and fully  ...  This article provides a comprehensive review of existing zero-shot recognition techniques covering various aspects ranging from representations of models, and from datasets and evaluation settings.  ...  Yanwei Fu is supported by The Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning.  ... 
arXiv:1710.04837v1 fatcat:u3mp6dgj2rgqrarjm4dcywegmy

GIF Video Sentiment Detection Using Semantic Sequence

Dazhen Lin, Donglin Cao, Yanping Lv, Zheng Cai
2017 Mathematical Problems in Engineering  
Secondly, we propose a SentiPair Sequence based GIF video sentiment detection approach that learns the semantic sequence to understand the sentiment from GIF videos.  ...  However, sentiment detection of short videos is a very challenging task because of the semantic gap problem and sequence based sentiment understanding problem.  ...  However, there is no learning approach which can use those midlevel ontology labels to learn the semantic sequence for GIF sentiment analysis.  ... 
doi:10.1155/2017/6863174 fatcat:7pblr5zti5g4tlo5gxziwibj64

Applying Semantic Web Technologies For Decision Support In Climate-Related Crisis Management

Efstratios Kontopoulos, Panagiotis Mitzias, Stamatia Dasiopoulou, Jürgen Moßgraber, Simon Mille, Philipp Hertweck, Tobias Hellmund, Anastasios Karakostas, Stefanos Vrochidis, Leo Wanner, Ioannis Kompatsiaris
2018 Zenodo  
Meaningfully processing and communicating this information for efficient decision support is a key challenge.  ...  The paper describes applying Semantic Web technologies for decision support during such crises. We are proposing the application of these technologies in the whole "sensor to decision chain".  ...  For example, a video analysis algorithm may detect that a street is flooded and that several cars are partially submerged.  ... 
doi:10.5281/zenodo.1297470 fatcat:teicgg4ozvcezpkuvjegsnzeee

Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling [article]

Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar, Meysam Asgari-Chenaghlu, Ali-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Mehrdad Ranjbar-Khadivi, Zoleikha Jahanbakhsh-Nagadeh, Elnaz Zafarani-Moattar, Taymaz Rahkar-Farshi
2021 arXiv   pre-print
To this end, we suggest five new APP methods including term frequency vector-based, ontology-based, enriched ontology-based, latent semantic analysis (LSA)-based, and deep learning-based (BiLSTM) methods  ...  As a consequence of spreading the information infrastructures (specifically the Internet and social media), human communications have reformed notably from face to face communication.  ...  semantic analysis-based, and deep learning-based (BiLSTM) methods.  ... 
arXiv:2007.04571v2 fatcat:wjwueskbxvbrjcyfuasoqnenae

SemOI: A Semantical Augmentation for the Open Images Detection

Achim Reiz, Kurt Sandkuhl, Birger Lantow
2021 Zenodo  
Using a GUI, a user can upload a picture and calculate a numerical value for the possibility of a given scene.  ...  The extension allows the inferring of possible locations and semantic suitable objects for the detected items.  ...  ACKNOWLEDGMENT Parts of the code resulted from a student project. We thank Roman Kempke, Maximilian Niese, Henry Hilse, and Tim Schröder for their support in realizing the prototype.  ... 
doi:10.5281/zenodo.4514969 fatcat:jwfn2ouyknf6pf7pgmzdk4mn6u

Semantic Knowledge Graphs for the News: A Review

Andreas L. Opdahl, Tareq Al-Moslmi, Duc-Tien Dang-Nguyen, Marc Gallofré Ocaña, Bjørnar Tessem, Csaba Veres
2022 ACM Computing Surveys  
This paper reviews the research on using semantic knowledge graphs for production, distribution, and consumption of news.  ...  Semantic knowledge graphs (KGs) is an established technique for integrating such heterogeneous information.  ...  Deep-learning techniques like CNN, LSTM, and attention become important, and spaCy is used for NLP. On the back of deep image-analysis techniques, multimedia data also makes a return.  ... 
doi:10.1145/3543508 fatcat:l4lwafoyuncdpmc4qhj3xxekwa

Bridging Visual Perception with Contextual Semantics for Understanding Robot Manipulation Tasks [article]

Chen Jiang, Martin Jagersand
2020 arXiv   pre-print
A combination of a Vision-Language model and an ontology system, in correspondence with visual perception and contextual semantics, is used to represent robot manipulation knowledge with Entity-Relation-Entity  ...  Using the framework, we present a case study where robot performs manipulation actions in a kitchen environment, bridging visual perception with contextual semantics using the generated dynamic knowledge  ...  Modules involving SLAM, visual servoing and deep learning have increased the autonomous capability of intelligent robotics.  ... 
arXiv:1909.07459v2 fatcat:assvrjoyn5hx5ocdumxwarqugm

Ontology Based Global and Collective Motion Patterns for Event Classification in Basketball Videos [article]

Lifang Wu, Zhou Yang, Jiaoyu He, Meng Jian, Yaowen Xu, Dezhong Xu and Chang Wen Chen
2019 arXiv   pre-print
Second, we utilize post-event segments to predict success/failure using deep features of images in the video frames (RGB_DF_VF) based algorithms.  ...  A semantic event in basketball videos can be generally divided into three stages: pre-event, event occurrence (event-occ), and post-event.  ...  For the crowd counting task, deep learning methods have been widely used to fuse the spatial and temporal semantics. Xiong et al.  ... 
arXiv:1903.06879v2 fatcat:orrkif4gnzcl3dacaof3nkkzum

Generic Video Surveillance Description Ontology

Wael F. Youssef, Siba Haidar, Philippe Joly
2018 International Conference on Big Data and Cyber-Security Intelligence  
In this study, we present an automatic generic ontology for video surveillance description, to be used as a highlevel layer in video-surveillance systems.  ...  We considered the temporal dimension of the video, using appropriate features and classification methods.  ...  It has been designed to be used as a generalist high-level layer for a video analysis, principally in video-surveillance system.  ... 
dblp:conf/bdcsintell/YoussefHJ18 fatcat:22uv44eoo5h65gsdmrbfnhbshe
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