The Experts below are selected from a list of 7047 Experts worldwide ranked by ideXlab platform
Jakub Simko - One of the best experts on this subject based on the ideXlab platform.
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Visual Pollution localization through crowdsourcing and Visual similarity clustering
2017 12th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), 2017Co-Authors: Zuzana Kucharikova, Jakub SimkoAbstract:Nowadays, many cities and communes suffer from advertisements appearing on aesthetically inappropriate or illegal places. This contamination of public space is called Visual Pollution. The first step in the fight against Visual Pollution is localization of physical advertising media (e.g., billboards) as accurately as is possible. One of the ways is to use volunteer effort through outdoor crowdsourcing. Smart mobile devices can support this process through localization sensors. However, these sensors are inaccurate enough on their own, plus, the media are not located exactly where the volunteers capture them. Therefore, the media localization is presently inaccurate. This paper presents a work-in-progress method to improve the localization of physical advertisement media. As input, the method takes captured media images along with spatial information about the device. The images are then clustered based on their locations, to form sets corresponding to the true physical media. Then, using Visual analysis of the images and spatial orientation of devices, the method computes expected location of the physical media.
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SMAP - Visual Pollution localization through crowdsourcing and Visual similarity clustering
2017 12th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), 2017Co-Authors: Zuzana Kucharikova, Jakub SimkoAbstract:Nowadays, many cities and communes suffer from advertisements appearing on aesthetically inappropriate or illegal places. This contamination of public space is called Visual Pollution. The first step in the fight against Visual Pollution is localization of physical advertising media (e.g., billboards) as accurately as is possible. One of the ways is to use volunteer effort through outdoor crowdsourcing. Smart mobile devices can support this process through localization sensors. However, these sensors are inaccurate enough on their own, plus, the media are not located exactly where the volunteers capture them. Therefore, the media localization is presently inaccurate. This paper presents a work-in-progress method to improve the localization of physical advertisement media. As input, the method takes captured media images along with spatial information about the device. The images are then clustered based on their locations, to form sets corresponding to the true physical media. Then, using Visual analysis of the images and spatial orientation of devices, the method computes expected location of the physical media.
Malik Asghar Naeem - One of the best experts on this subject based on the ideXlab platform.
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The Assessment and Mapping of Urban Visual Pollution through an Assembly of Open Source Geospatial Tools
The Academic Research Community publication, 2019Co-Authors: Khydija Wakil, Malik Asghar Naeem, Ghulam Abbas Anjum, Abdul Waheed, Muhammad Jamaluddin Thaheem, Muhammad Qadeer Ul HussnainAbstract:Urban surroundings and spaces are losing their identity due to the Visual Pollution in the urban panorama of already densely populated cities in the developing countries. Quantitative assessment of Visual Pollution and its spatial mapping are very recent and relatively un-explored branches of urban studies. The diversity of Visual Pollution objects (VPOs) and their traits, the subjectivity of observers, the scale of urban space and dependency on subjective variables are the key challenges for quantification during Visual Pollution assessment (VPA). A paper-based score-card type VPA tool using Analytical Hierarchy Process to address these issues has previously been developed. However, considering the challenges associated with the deployment of paper-based tool for VPA (which include the inability to handle variety of data types such as text, numeric, geolocation, images, etc.), the natural progression is the development of a mobile-based solution which matches the fast-growing mobile penetration rate of urban centres and provides a turn-key solution to achieve efficiency and effectiveness in primary data collection. On the other hand, academic research on the spatial mapping of Visual Pollution has slightly progressed to explore its cartographic dimension. This research presents a spatial decision support system comprising of a combination of open source tools to collect, store and present VPA data for any urban space of any scale. The system employs Open Data Kit (ODK) to build its mobile-based VPA tool which can be used to collect VPO attributes using any Android device. The collected data is streamed to a web-based data management module of the system in real time which is built upon ODK Aggregate and PostgreSQL. Furthermore, the web-based Visualisation module of the system is built upon some other major open source tools including OpenGeo Suite and PHP. The Visualisation module presents the results of Visual Pollution index (VPI) in the form of a web-based dashboard containing real-time choropleth maps which can be filtered for any specific VPO. This research demonstrates the strengths of open geospatial tools to solve challenges of primary data collection on a diverse range of VPOs along with the systematic capturing of their spatial location and Visual images. Furthermore, it proves the ability of open source web mapping tools to display Visual Pollution assessments in most appropriate cartographic representation. Resultantly, it offers the practitioner urban planners a tested mechanism to assess and map the levels of urban Visual Pollution in an urban space and help them take effective measures to improve the Visual image of the city.
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A Hybrid Tool for Visual Pollution Assessment in Urban Environments
Sustainability, 2019Co-Authors: Khydija Wakil, Malik Asghar Naeem, Ghulam Abbas Anjum, Abdul Waheed, Muhammad Jamaluddin Thaheem, Muhammad Qadeer Ul Hussnain, Raheel NawazAbstract:With increasing focus on more nuanced aspects of quality of life, the phenomenon of urban Visual Pollution has been progressively gaining attention from researchers and policy makers, especially in the developed world. However, the subjectivity and complexity of assessing Visual Pollution in urban settings remain a challenge, especially given the lack of robust and reliable methods for quantification of Visual Pollution. This paper presents a novel systematic approach for the development of a robust Visual Pollution Assessment (VPA) tool. A key feature of our methodology is explicit and systematic incorporation of expert and public opinion for listing and ranking Visual Pollution Objects (VPOs). Moreover, our methodology deploys established empirical complex decision-making techniques to address the challenge of subjectivity in weighting the impact of individual VPOs. The resultant VPA tool uses close-ended options to capture the presence and characteristics of various VPOs on a given node. Based on these inputs, it calculates a point based Visual Pollution scorecard for the observation point. The performance of the VPA tool has been extensively tested and verified at various locations in Pakistan. To the best of our knowledge, this is the first such tool, both in terms of quantitative robustness and broad coverage of VPOs. Our VPA tool will help regulators in assessing and charting Visual Pollution in a consistent and objective manner. It will also help policy makers by providing an empirical basis for gathering evidence; hence facilitating evidence-based and evidence-driven policy strategies, which are likely to have significant impact, especially in the developing countries.
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Regulating outdoor advertisement boards; employing spatial decision support system to control urban Visual Pollution
IOP Conference Series: Earth and Environmental Science, 2016Co-Authors: K Wakil, M Q Hussnain, Ali Tahir, Malik Asghar NaeemAbstract:Unmanaged placement, size, location, structure and contents of outdoor advertisement boards have resulted in severe urban Visual Pollution and deterioration of the socio-physical living environment in urban centres of Pakistan. As per the regulatory instruments, the approval decision for a new advertisement installation is supposed to be based on the locational density of existing boards and their proximity or remoteness to certain land- uses. In cities, where regulatory tools for the control of advertisement boards exist, responsible authorities are handicapped in effective implementation due to the absence of geospatial analysis capacity. This study presents the development of a spatial decision support system (SDSS) for regularization of advertisement boards in terms of their location and placement. The knowledge module of the proposed SDSS is based on provisions and restrictions prescribed in regulatory documents. While the user interface allows Visualization and scenario evaluation to understand if the new board will affect existing linear density on a particular road and if it violates any buffer restrictions around a particular land use. Technically the structure of the proposed SDSS is a web-based solution which includes open geospatial tools such as OpenGeo Suite, GeoExt, PostgreSQL, and PHP. It uses three key data sets including road network, locations of existing billboards and building parcels with land use information to perform the analysis. Locational suitability has been calculated using pairwise comparison through analytical hierarchy process (AHP) and weighted linear combination (WLC). Our results indicate that open geospatial tools can be helpful in developing an SDSS which can assist solving space related iterative decision challenges on outdoor advertisements. Employing such a system will result in effective implementation of regulations resulting in Visual harmony and aesthetic improvement in urban communities.
Zuzana Kucharikova - One of the best experts on this subject based on the ideXlab platform.
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Visual Pollution localization through crowdsourcing and Visual similarity clustering
2017 12th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), 2017Co-Authors: Zuzana Kucharikova, Jakub SimkoAbstract:Nowadays, many cities and communes suffer from advertisements appearing on aesthetically inappropriate or illegal places. This contamination of public space is called Visual Pollution. The first step in the fight against Visual Pollution is localization of physical advertising media (e.g., billboards) as accurately as is possible. One of the ways is to use volunteer effort through outdoor crowdsourcing. Smart mobile devices can support this process through localization sensors. However, these sensors are inaccurate enough on their own, plus, the media are not located exactly where the volunteers capture them. Therefore, the media localization is presently inaccurate. This paper presents a work-in-progress method to improve the localization of physical advertisement media. As input, the method takes captured media images along with spatial information about the device. The images are then clustered based on their locations, to form sets corresponding to the true physical media. Then, using Visual analysis of the images and spatial orientation of devices, the method computes expected location of the physical media.
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SMAP - Visual Pollution localization through crowdsourcing and Visual similarity clustering
2017 12th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), 2017Co-Authors: Zuzana Kucharikova, Jakub SimkoAbstract:Nowadays, many cities and communes suffer from advertisements appearing on aesthetically inappropriate or illegal places. This contamination of public space is called Visual Pollution. The first step in the fight against Visual Pollution is localization of physical advertising media (e.g., billboards) as accurately as is possible. One of the ways is to use volunteer effort through outdoor crowdsourcing. Smart mobile devices can support this process through localization sensors. However, these sensors are inaccurate enough on their own, plus, the media are not located exactly where the volunteers capture them. Therefore, the media localization is presently inaccurate. This paper presents a work-in-progress method to improve the localization of physical advertisement media. As input, the method takes captured media images along with spatial information about the device. The images are then clustered based on their locations, to form sets corresponding to the true physical media. Then, using Visual analysis of the images and spatial orientation of devices, the method computes expected location of the physical media.
Muhammad Qadeer Ul Hussnain - One of the best experts on this subject based on the ideXlab platform.
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The Assessment and Mapping of Urban Visual Pollution through an Assembly of Open Source Geospatial Tools
The Academic Research Community publication, 2019Co-Authors: Khydija Wakil, Malik Asghar Naeem, Ghulam Abbas Anjum, Abdul Waheed, Muhammad Jamaluddin Thaheem, Muhammad Qadeer Ul HussnainAbstract:Urban surroundings and spaces are losing their identity due to the Visual Pollution in the urban panorama of already densely populated cities in the developing countries. Quantitative assessment of Visual Pollution and its spatial mapping are very recent and relatively un-explored branches of urban studies. The diversity of Visual Pollution objects (VPOs) and their traits, the subjectivity of observers, the scale of urban space and dependency on subjective variables are the key challenges for quantification during Visual Pollution assessment (VPA). A paper-based score-card type VPA tool using Analytical Hierarchy Process to address these issues has previously been developed. However, considering the challenges associated with the deployment of paper-based tool for VPA (which include the inability to handle variety of data types such as text, numeric, geolocation, images, etc.), the natural progression is the development of a mobile-based solution which matches the fast-growing mobile penetration rate of urban centres and provides a turn-key solution to achieve efficiency and effectiveness in primary data collection. On the other hand, academic research on the spatial mapping of Visual Pollution has slightly progressed to explore its cartographic dimension. This research presents a spatial decision support system comprising of a combination of open source tools to collect, store and present VPA data for any urban space of any scale. The system employs Open Data Kit (ODK) to build its mobile-based VPA tool which can be used to collect VPO attributes using any Android device. The collected data is streamed to a web-based data management module of the system in real time which is built upon ODK Aggregate and PostgreSQL. Furthermore, the web-based Visualisation module of the system is built upon some other major open source tools including OpenGeo Suite and PHP. The Visualisation module presents the results of Visual Pollution index (VPI) in the form of a web-based dashboard containing real-time choropleth maps which can be filtered for any specific VPO. This research demonstrates the strengths of open geospatial tools to solve challenges of primary data collection on a diverse range of VPOs along with the systematic capturing of their spatial location and Visual images. Furthermore, it proves the ability of open source web mapping tools to display Visual Pollution assessments in most appropriate cartographic representation. Resultantly, it offers the practitioner urban planners a tested mechanism to assess and map the levels of urban Visual Pollution in an urban space and help them take effective measures to improve the Visual image of the city.
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A Hybrid Tool for Visual Pollution Assessment in Urban Environments
Sustainability, 2019Co-Authors: Khydija Wakil, Malik Asghar Naeem, Ghulam Abbas Anjum, Abdul Waheed, Muhammad Jamaluddin Thaheem, Muhammad Qadeer Ul Hussnain, Raheel NawazAbstract:With increasing focus on more nuanced aspects of quality of life, the phenomenon of urban Visual Pollution has been progressively gaining attention from researchers and policy makers, especially in the developed world. However, the subjectivity and complexity of assessing Visual Pollution in urban settings remain a challenge, especially given the lack of robust and reliable methods for quantification of Visual Pollution. This paper presents a novel systematic approach for the development of a robust Visual Pollution Assessment (VPA) tool. A key feature of our methodology is explicit and systematic incorporation of expert and public opinion for listing and ranking Visual Pollution Objects (VPOs). Moreover, our methodology deploys established empirical complex decision-making techniques to address the challenge of subjectivity in weighting the impact of individual VPOs. The resultant VPA tool uses close-ended options to capture the presence and characteristics of various VPOs on a given node. Based on these inputs, it calculates a point based Visual Pollution scorecard for the observation point. The performance of the VPA tool has been extensively tested and verified at various locations in Pakistan. To the best of our knowledge, this is the first such tool, both in terms of quantitative robustness and broad coverage of VPOs. Our VPA tool will help regulators in assessing and charting Visual Pollution in a consistent and objective manner. It will also help policy makers by providing an empirical basis for gathering evidence; hence facilitating evidence-based and evidence-driven policy strategies, which are likely to have significant impact, especially in the developing countries.
Khydija Wakil - One of the best experts on this subject based on the ideXlab platform.
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The Assessment and Mapping of Urban Visual Pollution through an Assembly of Open Source Geospatial Tools
The Academic Research Community publication, 2019Co-Authors: Khydija Wakil, Malik Asghar Naeem, Ghulam Abbas Anjum, Abdul Waheed, Muhammad Jamaluddin Thaheem, Muhammad Qadeer Ul HussnainAbstract:Urban surroundings and spaces are losing their identity due to the Visual Pollution in the urban panorama of already densely populated cities in the developing countries. Quantitative assessment of Visual Pollution and its spatial mapping are very recent and relatively un-explored branches of urban studies. The diversity of Visual Pollution objects (VPOs) and their traits, the subjectivity of observers, the scale of urban space and dependency on subjective variables are the key challenges for quantification during Visual Pollution assessment (VPA). A paper-based score-card type VPA tool using Analytical Hierarchy Process to address these issues has previously been developed. However, considering the challenges associated with the deployment of paper-based tool for VPA (which include the inability to handle variety of data types such as text, numeric, geolocation, images, etc.), the natural progression is the development of a mobile-based solution which matches the fast-growing mobile penetration rate of urban centres and provides a turn-key solution to achieve efficiency and effectiveness in primary data collection. On the other hand, academic research on the spatial mapping of Visual Pollution has slightly progressed to explore its cartographic dimension. This research presents a spatial decision support system comprising of a combination of open source tools to collect, store and present VPA data for any urban space of any scale. The system employs Open Data Kit (ODK) to build its mobile-based VPA tool which can be used to collect VPO attributes using any Android device. The collected data is streamed to a web-based data management module of the system in real time which is built upon ODK Aggregate and PostgreSQL. Furthermore, the web-based Visualisation module of the system is built upon some other major open source tools including OpenGeo Suite and PHP. The Visualisation module presents the results of Visual Pollution index (VPI) in the form of a web-based dashboard containing real-time choropleth maps which can be filtered for any specific VPO. This research demonstrates the strengths of open geospatial tools to solve challenges of primary data collection on a diverse range of VPOs along with the systematic capturing of their spatial location and Visual images. Furthermore, it proves the ability of open source web mapping tools to display Visual Pollution assessments in most appropriate cartographic representation. Resultantly, it offers the practitioner urban planners a tested mechanism to assess and map the levels of urban Visual Pollution in an urban space and help them take effective measures to improve the Visual image of the city.
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A Hybrid Tool for Visual Pollution Assessment in Urban Environments
Sustainability, 2019Co-Authors: Khydija Wakil, Malik Asghar Naeem, Ghulam Abbas Anjum, Abdul Waheed, Muhammad Jamaluddin Thaheem, Muhammad Qadeer Ul Hussnain, Raheel NawazAbstract:With increasing focus on more nuanced aspects of quality of life, the phenomenon of urban Visual Pollution has been progressively gaining attention from researchers and policy makers, especially in the developed world. However, the subjectivity and complexity of assessing Visual Pollution in urban settings remain a challenge, especially given the lack of robust and reliable methods for quantification of Visual Pollution. This paper presents a novel systematic approach for the development of a robust Visual Pollution Assessment (VPA) tool. A key feature of our methodology is explicit and systematic incorporation of expert and public opinion for listing and ranking Visual Pollution Objects (VPOs). Moreover, our methodology deploys established empirical complex decision-making techniques to address the challenge of subjectivity in weighting the impact of individual VPOs. The resultant VPA tool uses close-ended options to capture the presence and characteristics of various VPOs on a given node. Based on these inputs, it calculates a point based Visual Pollution scorecard for the observation point. The performance of the VPA tool has been extensively tested and verified at various locations in Pakistan. To the best of our knowledge, this is the first such tool, both in terms of quantitative robustness and broad coverage of VPOs. Our VPA tool will help regulators in assessing and charting Visual Pollution in a consistent and objective manner. It will also help policy makers by providing an empirical basis for gathering evidence; hence facilitating evidence-based and evidence-driven policy strategies, which are likely to have significant impact, especially in the developing countries.
