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Ship-SIBISCaS: A First Step towards the Identification of Potential Maritime Law Infringements by means of LSA-Based Image

Gabriel Alejandro León-Paredes, Liliana Ibeth Barbosa-Santillán, Juan Jaime Sánchez-Escobar, Antonio Pareja-Lora
2019 Scientific Programming  
This paper presents a Ship Semantic Information-Based, Image Similarity Calculation System (Ship-SIBISCaS), which constitutes a first step towards the automatic identification of this kind of maritime  ...  This classification is achieved in Ship-SIBISCaS by finding out the similarity of the ship image and/or description with other ship images and descriptions included in its knowledge base.  ...  Acknowledgments is work has been supported by the Sciences Research Council (CONACYT) through the research project no. 262756 called " e use of GNSS data for tracking maritime flow for sea security." e  ... 
doi:10.1155/2019/1371328 fatcat:ctl33wp4hjfdzd5x6sfabnwidy

Content-Based Spam Filtering on Video Sharing Social Networks [article]

Antonio da Luz, Eduardo Valle, Arnaldo Araujo
2011 arXiv   pre-print
analysis (LSA).  ...  This is a very challenging task, because of the high-level semantic concepts involved; of the assorted nature of social networks, preventing the use of constrained a priori information; and, what is paramount  ...  The acceptance of local features as a broad technique of image description was an important watershed in the history of image understanding.  ... 
arXiv:1104.5284v1 fatcat:rbfoi6zt2zaa3hcep7wrgtcttu

Latent semantic analysis for an effective region-based video shot retrieval system

Fabrice Souvannavong, Bernard Merialdo, Beno�t Huet
2004 Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval - MIR '04  
In the experimental section, we make an evaluation of latent semantic analysis and proposed approaches on two problems, namely object retrieval and semantic content estimation.  ...  Finally we introduce a relevance feedback loop to optimize the search and propose a new method to optimize the effect of LSA.  ...  The first step is conducted with an adaptation of Latent Semantic Analysis (LSA) to image or video content. LSA has been proven effective for text document analysis, indexing and retrieval [7] .  ... 
doi:10.1145/1026711.1026751 dblp:conf/mir/SouvannavongMH04 fatcat:g2v73ev2u5bf5j3arjjzzxbh2u

Personalized retrieval of sports video

Yifan Zhang, Xiaoyu Zhang, Changsheng Xu, Hanqing Lu
2007 Proceedings of the international workshop on Workshop on multimedia information retrieval - MIR '07  
In this paper, a novel approach is proposed to achieve personalized retrieval of sports video, which includes two research tasks: semantic annotation of sports video and acquisition of user's preference  ...  The semantic concepts and keywords included in the webcasting text are extracted to annotate and index the sport event segments automatically.  ...  It is first applied to content-based image retrieval (CBIR) [22] to bridge the gap between high-level semantic concepts and low-level image features.  ... 
doi:10.1145/1290082.1290126 dblp:conf/mir/ZhangZXL07 fatcat:evoshhficng6tn5vymnhijaab4

Performing content-based retrieval of humans using gait biometrics

Sina Samangooei, Mark S. Nixon
2009 Multimedia tools and applications  
We explore the content-based retrieval of videos containing walking subjects, using semantic queries.  ...  A manual annotation process is time-consuming and prone to error due to subject bias however, at surveillance-image resolution, the human walk (their gait) can be analysed automatically.  ...  We show that LSA (Latent Semantic Analysis) techniques, as used successfully by the image retrieval community, can be used to associate semantic physical descriptions with automatically extracted gait  ... 
doi:10.1007/s11042-009-0391-8 fatcat:vj6deqcb6nagphfr7sx2uxdcca

Performing Content-Based Retrieval of Humans Using Gait Biometrics [chapter]

Sina Samangooei, Mark S. Nixon
2008 Lecture Notes in Computer Science  
We explore the content-based retrieval of videos containing walking subjects, using semantic queries.  ...  A manual annotation process is time-consuming and prone to error due to subject bias however, at surveillance-image resolution, the human walk (their gait) can be analysed automatically.  ...  We show that LSA (Latent Semantic Analysis) techniques, as used successfully by the image retrieval community, can be used to associate semantic physical descriptions with automatically extracted gait  ... 
doi:10.1007/978-3-540-92235-3_10 fatcat:clfitdhtpffdtdzhetlhyr2iai

Modeling the Structure and Dynamics of Semantic Processing

Armand S. Rotaru, Gabriella Vigliocco, Stefan L. Frank
2018 Cognitive Science  
Here, we describe a processing model based on distributional semantics in which activation spreads throughout a semantic network, as dictated by the patterns of semantic similarity between words.  ...  and imageability ratings.  ...  For the analysis of concreteness and imageability rating tasks, the baseline model included age of acquisition, familiarity, log frequency, log contextual diversity, semantic diversity, (squared) hedonic  ... 
doi:10.1111/cogs.12690 fatcat:4njwhpwpl5ht5lfvraoeczuu3y

Data-driven approaches to information access

S Dumais
2003 Cognitive Science  
This paper summarizes three lines of research that are motivated by the practical problem of helping users find information from external data sources, most notably computers.  ...  A common theme in these applications is that practical information access problems can be solved by analyzing the statistical properties of words in large volumes of real world texts.  ...  Several collaborators have been involved in all aspects of the work, most notably Tom Landauer, Peter Foltz, George Furnas, Michael Littman (for LSA), John Platt, David Heckerman, Eric Horvitz, Hao Chen  ... 
doi:10.1016/s0364-0213(03)00013-2 fatcat:ayz4ng2z5naxje637emcirubve

Data-driven approaches to information access

Susan Dumais
2003 Cognitive Science  
This paper summarizes three lines of research that are motivated by the practical problem of helping users find information from external data sources, most notably computers.  ...  A common theme in these applications is that practical information access problems can be solved by analyzing the statistical properties of words in large volumes of real world texts.  ...  Several collaborators have been involved in all aspects of the work, most notably Tom Landauer, Peter Foltz, George Furnas, Michael Littman (for LSA), John Platt, David Heckerman, Eric Horvitz, Hao Chen  ... 
doi:10.1207/s15516709cog2703_7 fatcat:psbqizdjjvfljpj7a6bsndnt3e

An Ontology-based Name Entity Recognition NER and NLP Systems in Arabic Storytelling

Marwa Elgamal, Mohamed Abou-Kreisha, Reda Abo Elezz, Salwa Hamada
2020 Al-Azhar Bulletin of Science  
Still, ontology construction and learning, which extracts ontological knowledge from various data types automatically or semiautomatically, can overcome the bottleneck of knowledge acquisition.  ...  This paper intends to investigate the problem of automatically construct and build an Arabic storytelling ontology based on Arabic named entity recognition (NER) from unstructured story text.  ...  algorithm with LSA based on the semantic relations and the words which are semantically related.  ... 
doi:10.21608/absb.2020.44367.1088 fatcat:al6yof2kozajvot77cta2globe

Web Document Categorization Using Naive Bayes Classifier and Latent Semantic Analysis [article]

Alireza Saleh Sedghpour, Mohammad Reza Saleh Sedghpour
2020 arXiv   pre-print
It is thus produced High volumes of data per second with high diversity. Automatically classification of these growing amounts of web document is One of the biggest challenges facing us today.  ...  characteristics of textual data representation. also it is common to Lack of attention and support the semantic relation between words using traditional feature selection method When dealing with the  ...  LSA is a two-stage process and includes learning and analysis of the indexed data [14] . During the learning phase LSA performs an automatic document indexing.  ... 
arXiv:2006.01715v1 fatcat:nfciyh6alvbc3es65bbl3rdhte

Guest Editorial: Introduction to the Special Issue on Advances in Semantic Computing

Phillip C.-Y. Sheu, Arif Ghafoor
2015 IEEE Transactions on Emerging Topics in Computing  
With an attempt to give a theoretical statistical justification of the Latent Semantic Analysis (LSA) technique based on the Truncated Singular Value Decomposition (TSVD), Giovanni Pilato and Giorgio Vassallo  ...  Description of Semantics, including formal models, search and access mechanisms, etc.; 3. Integration of Descriptions, including interoperateability, schema integration, etc.; and 4.  ... 
doi:10.1109/tetc.2015.2432332 fatcat:luubzsq7jzbljnnitdwntdnhnm

NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese [article]

Sidney Evaldo Leal and Magali Sanches Duran and Carolina Evaristo Scarton and Nathan Siegle Hartmann and Sandra Maria Aluísio
2021 arXiv   pre-print
These metrics are relevant for descriptive analysis and the creation of computational models and can be used to extract information from various linguistic levels of written and spoken language.  ...  In this paper, we illustrate the potential of NILC-Metrix by presenting three applications: (i) a descriptive analysis of the differences between children's film subtitles and texts written for Elementary  ...  In 2017, during a NILC student's PhD, a large lexical base with 26,874 words in BP was automatically annotated with concreteness, age of acquisition, imageability and subjective frequency (similar to familiarity  ... 
arXiv:2201.03445v1 fatcat:4bzrdqdynjgyljy6fvu2hpxohu

Some Promising Results of Communication-Based Automatic Measures of Team Cognition

Preston A. Kiekel, Nancy J. Cooke, Peter W. Foltz, Jamie C. Gorman, Melanie J. Martin
2002 Proceedings of the Human Factors and Ergonomics Society Annual Meeting  
Latent Semantic Analysis is an automatic method used to assess content, either statically or sequentially.  ...  In order to circumvent the logistic difficulties of communication data, the present paper proposes several relatively automatic methods of analysis.  ...  N00014-00-1-0818 and greatly benefited from contributions of Steven Shope and Susan Stevens.  ... 
doi:10.1177/154193120204600318 fatcat:ry5yivrtlfcj5inip42eotezwu

Learning-Based Coordination Model for On-the-Fly Self-Composing Services Using Semantic Matching

Houssem Ben Ben Mahfoudh, Ashley Caselli, Giovanna Di Marzo Di Marzo Serugendo
2021 Journal of Sensor and Actuator Networks  
The implementation of our coordination model results in a learning-based semantic middleware.  ...  Thanks to a learning-based coordination model, and without any pre-designed composition, reliable and pertinent spatial services dynamically and fully automatically arise from the self-composition of available  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/jsan10010005 fatcat:piovdzvwmrbe7hofc5ycsf6rpe
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