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