The pulse wave signal contains a variety of noises and has strong nonlinear and non-stationary. According to the previous wavelet transformation method, this paper proposes a PPG signal de-noising algorithm based on dual-tree complex wavelet transform (DTCWT) and morphological filtering. With the advantage of simple construction, clear mathematical implications and low computational complexity, this method overcomes the shift sensitive and the frequency aliasing in the discrete wavelet transform. The simulation results show that this algorithm could remove the power line interference and EMG interference, and the quantitative index of SNR and mean square error is superior to the traditional threshold de-noising algorithm. Therefore, the DTCWT and morphological filtering de-noising algorithm would obtain a clear pulse wave signal.
{"title":"A PPG Signal De-Noising Method Based on the DTCWT and the Morphological Filtering","authors":"Tong Bai, Dan Li, Huiqian Wang, Yu Pang, Guoquan Li, Jinzhao Lin, Q. Zhou, Gwanggil Jeon","doi":"10.1109/SITIS.2016.85","DOIUrl":"https://doi.org/10.1109/SITIS.2016.85","url":null,"abstract":"The pulse wave signal contains a variety of noises and has strong nonlinear and non-stationary. According to the previous wavelet transformation method, this paper proposes a PPG signal de-noising algorithm based on dual-tree complex wavelet transform (DTCWT) and morphological filtering. With the advantage of simple construction, clear mathematical implications and low computational complexity, this method overcomes the shift sensitive and the frequency aliasing in the discrete wavelet transform. The simulation results show that this algorithm could remove the power line interference and EMG interference, and the quantitative index of SNR and mean square error is superior to the traditional threshold de-noising algorithm. Therefore, the DTCWT and morphological filtering de-noising algorithm would obtain a clear pulse wave signal.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130771505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shiying Wang, Lei Zhang, Lu Wang, Cairang Nanjia, Xiaolan Zhu, Hong Li, Xiaoying Wang
Tibetan Medicine plays an important role in traditional Chinese Medical Science. For the inheritance of Tibetan medical science and disease prevention, the main method is to summarize and study the medication and diagnostic rules by using data mining technology, which is still in the early stage. In this paper, firstly, a standard knowledge base for plateau stomach illness has been constructed by using clustering algorithm to analyze clinical diagnosis and treatment data and Tibetan medicine prescription that from "Four Medical Classics". Secondly, the classical Apriori algorithm is used to discover the associated features of disease symptoms and prescriptions. Finally, an ovel distance discriminant based K-nearest neighbor algorithm on the base of the Grey Box method is put forward to realize the Tibetan medicine diagnosis and treatment prediction model on the plateau stomach illness (Atrophic Gastritis) through combining the individual characteristics of patients and typical symptoms of plateau stomach. As a result, the model of this paper can achieve an accuracy as high as 80.1%.
{"title":"Research on Syndrome Classification Prediction Model of Tibetan Medicine Diagnosis and Treatment Based on Data Mining","authors":"Shiying Wang, Lei Zhang, Lu Wang, Cairang Nanjia, Xiaolan Zhu, Hong Li, Xiaoying Wang","doi":"10.1109/SITIS.2016.84","DOIUrl":"https://doi.org/10.1109/SITIS.2016.84","url":null,"abstract":"Tibetan Medicine plays an important role in traditional Chinese Medical Science. For the inheritance of Tibetan medical science and disease prevention, the main method is to summarize and study the medication and diagnostic rules by using data mining technology, which is still in the early stage. In this paper, firstly, a standard knowledge base for plateau stomach illness has been constructed by using clustering algorithm to analyze clinical diagnosis and treatment data and Tibetan medicine prescription that from \"Four Medical Classics\". Secondly, the classical Apriori algorithm is used to discover the associated features of disease symptoms and prescriptions. Finally, an ovel distance discriminant based K-nearest neighbor algorithm on the base of the Grey Box method is put forward to realize the Tibetan medicine diagnosis and treatment prediction model on the plateau stomach illness (Atrophic Gastritis) through combining the individual characteristics of patients and typical symptoms of plateau stomach. As a result, the model of this paper can achieve an accuracy as high as 80.1%.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134345909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This work explores the Internet of Cultural Things (IoCT) and applications in the context of smart cities and learning cities. Ambient culture is advanced as an emergent form of the IoCT and applications in the context of 21st century everyday interactions in urban spaces. The constructs of awareness, learning, openness, and engagement enable formulation and operationalization of a framework for ambient culture in support of this study of the Internet of Cultural Things (IoCT) and applications in smart cities. A case study approach is used in the gathering of qualitative and quantitative data through interviews and surveys conducted with diverse individuals across several cities in Canada and Europe. In parallel with this study, anecdotal evidence is gathered from individuals and groups about smart cities, enabling further analysis and triangulation of data. This work contributes to the research literature across several domains including the IoCT and applications in relation to smart cities and learning cities. Future research and practice directions are identified for ambient culture with implications for ambient heritage, libraries, data relationships, and data infrastructures going forward.
{"title":"Emergent Ambient Culture in Smart Cities: Exploring the Internet of Cultural Things (IoCT) and Applications in 21st Century Urban Spaces","authors":"H. McKenna","doi":"10.1109/SITIS.2016.72","DOIUrl":"https://doi.org/10.1109/SITIS.2016.72","url":null,"abstract":"This work explores the Internet of Cultural Things (IoCT) and applications in the context of smart cities and learning cities. Ambient culture is advanced as an emergent form of the IoCT and applications in the context of 21st century everyday interactions in urban spaces. The constructs of awareness, learning, openness, and engagement enable formulation and operationalization of a framework for ambient culture in support of this study of the Internet of Cultural Things (IoCT) and applications in smart cities. A case study approach is used in the gathering of qualitative and quantitative data through interviews and surveys conducted with diverse individuals across several cities in Canada and Europe. In parallel with this study, anecdotal evidence is gathered from individuals and groups about smart cities, enabling further analysis and triangulation of data. This work contributes to the research literature across several domains including the IoCT and applications in relation to smart cities and learning cities. Future research and practice directions are identified for ambient culture with implications for ambient heritage, libraries, data relationships, and data infrastructures going forward.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131768533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Silvia Rossi, F. Barile, Clemente Galdi, Luca Russo
In an Internet of Things vision of smarts museums, recommendation systems based on collaborative filtering approaches can be exploited in the context of providing personalized artworks tours. In this work, we address the problem of generating and then recommending an artworks sequence for a group of visitors within a museum. Differently from a recommender system for an e-commerce application, the problem, here, is trying to maximize the satisfaction of the proposed recommendations, while taking into account an items' ordering that satisfies each group member during the sequence and the artworks location in the museum. In this work, we present a general framework to address such problems and evaluate a prototype implementation with both an offline analysis and a pilot study in a simulated museum environment.
{"title":"Artworks Sequences Recommendations for Groups in Museums","authors":"Silvia Rossi, F. Barile, Clemente Galdi, Luca Russo","doi":"10.1109/SITIS.2016.77","DOIUrl":"https://doi.org/10.1109/SITIS.2016.77","url":null,"abstract":"In an Internet of Things vision of smarts museums, recommendation systems based on collaborative filtering approaches can be exploited in the context of providing personalized artworks tours. In this work, we address the problem of generating and then recommending an artworks sequence for a group of visitors within a museum. Differently from a recommender system for an e-commerce application, the problem, here, is trying to maximize the satisfaction of the proposed recommendations, while taking into account an items' ordering that satisfies each group member during the sequence and the artworks location in the museum. In this work, we present a general framework to address such problems and evaluate a prototype implementation with both an offline analysis and a pilot study in a simulated museum environment.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133952966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. Jomaa, Mohamad Kamereddine, A. Nayal, Yara Rizk, M. Awad
Comic books are considered a heritage in many countries. The colorful depiction of annotated events has gained an increasing amount of interest over the past decade as the digitization process took over printed media, in addition to the abundance and variety of available data. Several applications have been devised in the field of computer vision and natural language processing to handle comic book pages. However, in this paper, we focus on the connection between the two, specifically, we compare the emotions that color and text separately imply. The theory of color and its effect on one's emotional state can be dated back to the 1800's. The language used in speech balloons is also written to a way to capture the audience's attention and manipulate their emotions. Throughout this paper, the color theory is applied to analyze the pages' emotional implication, and compared to the output of minSVM, a modified SVM classifier that accommodates imbalanced datasets, and a regular SVM, that are trained and implemented on the extracted text of a homegrown database to identify the emotions they convey. Using minSVM, we obtained a 91.26 % accuracy as opposed to an 89.66 % with SVM.
{"title":"Affective Relationship between Color and Text in Arabic Comic Books","authors":"H. Jomaa, Mohamad Kamereddine, A. Nayal, Yara Rizk, M. Awad","doi":"10.1109/SITIS.2016.42","DOIUrl":"https://doi.org/10.1109/SITIS.2016.42","url":null,"abstract":"Comic books are considered a heritage in many countries. The colorful depiction of annotated events has gained an increasing amount of interest over the past decade as the digitization process took over printed media, in addition to the abundance and variety of available data. Several applications have been devised in the field of computer vision and natural language processing to handle comic book pages. However, in this paper, we focus on the connection between the two, specifically, we compare the emotions that color and text separately imply. The theory of color and its effect on one's emotional state can be dated back to the 1800's. The language used in speech balloons is also written to a way to capture the audience's attention and manipulate their emotions. Throughout this paper, the color theory is applied to analyze the pages' emotional implication, and compared to the output of minSVM, a modified SVM classifier that accommodates imbalanced datasets, and a regular SVM, that are trained and implemented on the extracted text of a homegrown database to identify the emotions they convey. Using minSVM, we obtained a 91.26 % accuracy as opposed to an 89.66 % with SVM.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121368044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Traditional cryptosystems are based on the possession of secret keys that can be stolen or shared by non legitimate users. On the other hand, binding the real identity of a system user to what he is instead of something he knows or possesses is the main desirable property of biometric systems. Biometric Crypto-Systems (or BCSs) are designed to bind a cryptographic key with a biometric template to ensure that only a legitimate user can access to encrypted data. In this paper, we propose a new biometric cryptosystem that reformulates the binding process as a minimization problem in such a way that the cryptographic key cannot be derived from the parameters of the objective functions unless the system is provided with a valid biometric template. The idea this method is based on is quite novel and unexplored, and shows the advantage of being robust to attacks that commonly break some of the existing approaches. Moreover, unlike most of biometric crypto-systems, it doesn't need any error correction code technique. The paper formally discusses about the security of the system by evaluating the probability of an attacker to retrieve the correct cryptographic key, while experimental results show the efficiency and the effectiveness of the binding process by measuring the system performance in terms of accuracy, computational time and storage requirements.
{"title":"Biometric/Cryptographic Keys Binding Based on Function Minimization","authors":"D. Riccio, Clemente Galdi, R. Manzo","doi":"10.1109/SITIS.2016.31","DOIUrl":"https://doi.org/10.1109/SITIS.2016.31","url":null,"abstract":"Traditional cryptosystems are based on the possession of secret keys that can be stolen or shared by non legitimate users. On the other hand, binding the real identity of a system user to what he is instead of something he knows or possesses is the main desirable property of biometric systems. Biometric Crypto-Systems (or BCSs) are designed to bind a cryptographic key with a biometric template to ensure that only a legitimate user can access to encrypted data. In this paper, we propose a new biometric cryptosystem that reformulates the binding process as a minimization problem in such a way that the cryptographic key cannot be derived from the parameters of the objective functions unless the system is provided with a valid biometric template. The idea this method is based on is quite novel and unexplored, and shows the advantage of being robust to attacks that commonly break some of the existing approaches. Moreover, unlike most of biometric crypto-systems, it doesn't need any error correction code technique. The paper formally discusses about the security of the system by evaluating the probability of an attacker to retrieve the correct cryptographic key, while experimental results show the efficiency and the effectiveness of the binding process by measuring the system performance in terms of accuracy, computational time and storage requirements.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128963158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emanuele Damiano, Raffaele Spinelli, M. Esposito, G. Pietro
In the last years, Cognitive Systems are increasingly appearing, offering new ways for developing Question Answering solutions able to autonomously extract an answer for a question formulated in natural language. Currently, to the best of our knowledge, most of the available Question Answering solutions are designed for the English language and use SQL-like knowledge bases to provide factual answers to a natural language question. Starting from these considerations, this work presents a preliminary Question Answering framework for closed-domains, like Cultural Heritage. It has been expressly thought to extract factual answers from collections of documents by operating with the Italian language. Such a framework exploits a variety of NLP methods for the Italian language to help the understanding of user's questions and the extraction of precise answers from textual passages contained into documents. Moreover, Deep Learning techniques have been used to proficiently understand the topic of a question, whereas a rule-based approach relying on dictionaries has been applied for the annotation and indexing of collections of documents in Italian, enabling their usage into a state-of-the-art Information Retrieval engine. An experimental session has also been arranged, showing very promising preliminary results.
{"title":"Towards a Framework for Closed-Domain Question Answering in Italian","authors":"Emanuele Damiano, Raffaele Spinelli, M. Esposito, G. Pietro","doi":"10.1109/SITIS.2016.100","DOIUrl":"https://doi.org/10.1109/SITIS.2016.100","url":null,"abstract":"In the last years, Cognitive Systems are increasingly appearing, offering new ways for developing Question Answering solutions able to autonomously extract an answer for a question formulated in natural language. Currently, to the best of our knowledge, most of the available Question Answering solutions are designed for the English language and use SQL-like knowledge bases to provide factual answers to a natural language question. Starting from these considerations, this work presents a preliminary Question Answering framework for closed-domains, like Cultural Heritage. It has been expressly thought to extract factual answers from collections of documents by operating with the Italian language. Such a framework exploits a variety of NLP methods for the Italian language to help the understanding of user's questions and the extraction of precise answers from textual passages contained into documents. Moreover, Deep Learning techniques have been used to proficiently understand the topic of a question, whereas a rule-based approach relying on dictionaries has been applied for the annotation and indexing of collections of documents in Italian, enabling their usage into a state-of-the-art Information Retrieval engine. An experimental session has also been arranged, showing very promising preliminary results.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117345237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Today it is very important to maintain an intermediary level of security to ensure safe and trusted communication for daily usage. Secured data communication over internet and any other network is hard to achieve due to the threat of intrusions and misuse. Unfortunately, none of the existing systems have proved to be flawless, though various approaches have been used to thwart network intrusion activities. This paper proposes an investigation Model for Identifying and Collecting Intrusion Evidences (MICIE). In particular, the proposed model MICIE comprises three main features, SNORT as IDS, MySQL as database and BASE for result viewing. These features were installed on Raspberry Pi, which was used to aid the data collection process. The results demonstrated that the proposed model is promising for identifying and collecting evidence of network intrusions in real time.
{"title":"MICIE: A Model for Identifying and Collecting Intrusion Evidences","authors":"Abdulghani Ali, Yee Wai Kit","doi":"10.1109/SITIS.2016.54","DOIUrl":"https://doi.org/10.1109/SITIS.2016.54","url":null,"abstract":"Today it is very important to maintain an intermediary level of security to ensure safe and trusted communication for daily usage. Secured data communication over internet and any other network is hard to achieve due to the threat of intrusions and misuse. Unfortunately, none of the existing systems have proved to be flawless, though various approaches have been used to thwart network intrusion activities. This paper proposes an investigation Model for Identifying and Collecting Intrusion Evidences (MICIE). In particular, the proposed model MICIE comprises three main features, SNORT as IDS, MySQL as database and BASE for result viewing. These features were installed on Raspberry Pi, which was used to aid the data collection process. The results demonstrated that the proposed model is promising for identifying and collecting evidence of network intrusions in real time.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114393875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michalis Papakostas, Theodoros Giannakopoulos, F. Makedon, V. Karkaletsis
This paper proposes a deep learning classification method for frame-wise recognition of human activities, using raw color (RGB) information. In particular, we present a Convolutional Neural Network (CNN) classification approach for recognising three basic motion activity classes, that cover the vast majority of human activities in the context of a home monitoring environment, namely: sitting, walking and standing up. A real-world fully annotated dataset has been compiled, in the context of an assisted living home environment. Through extensive experimentation we have highlighted the benefits of deep learning architectures against traditional shallow classifiers functioning on hand-crafted features, on the task of activity recognition. Our approach proves the robustness and the quality of CNN classifiers that lies on learning highly invariant features. Our ultimate goal is to tackle the challenging task of activity recognition in environments that are characterized with high levels of inherent noise.
{"title":"Short-Term Recognition of Human Activities Using Convolutional Neural Networks","authors":"Michalis Papakostas, Theodoros Giannakopoulos, F. Makedon, V. Karkaletsis","doi":"10.1109/SITIS.2016.56","DOIUrl":"https://doi.org/10.1109/SITIS.2016.56","url":null,"abstract":"This paper proposes a deep learning classification method for frame-wise recognition of human activities, using raw color (RGB) information. In particular, we present a Convolutional Neural Network (CNN) classification approach for recognising three basic motion activity classes, that cover the vast majority of human activities in the context of a home monitoring environment, namely: sitting, walking and standing up. A real-world fully annotated dataset has been compiled, in the context of an assisted living home environment. Through extensive experimentation we have highlighted the benefits of deep learning architectures against traditional shallow classifiers functioning on hand-crafted features, on the task of activity recognition. Our approach proves the robustness and the quality of CNN classifiers that lies on learning highly invariant features. Our ultimate goal is to tackle the challenging task of activity recognition in environments that are characterized with high levels of inherent noise.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116172154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A new technique for color quantization is suggested. First, pre-quantization is accomplished by means of spatial resolution reduction, then, color aggregation is accomplished based on the distance between colors in the color space. Color aggregation is an iterated process where the number of iterations is given by the difference between the number of colors of the pre-quantized image, and the number of colors desired for the quantized image. Color mapping is finally accomplished. Performance evaluation is done in terms of generally adopted quality measures. Comparisons with other methods in the literature are also provided.
{"title":"A New Method for Color Quantization","authors":"G. Ramella, G. S. D. Baja","doi":"10.1109/SITIS.2016.10","DOIUrl":"https://doi.org/10.1109/SITIS.2016.10","url":null,"abstract":"A new technique for color quantization is suggested. First, pre-quantization is accomplished by means of spatial resolution reduction, then, color aggregation is accomplished based on the distance between colors in the color space. Color aggregation is an iterated process where the number of iterations is given by the difference between the number of colors of the pre-quantized image, and the number of colors desired for the quantized image. Color mapping is finally accomplished. Performance evaluation is done in terms of generally adopted quality measures. Comparisons with other methods in the literature are also provided.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127176528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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