A wide range of smartphone applications are emerging that employ image processing and computer vision algorithms to interpret the contents of images acquired by the phone's built-in camera, including applications that read product barcodes and recognize a variety of documents and other objects. However, almost all of these applications are designed for normally sighted users; a major barrier for visually impaired users (who might benefit greatly from such applications) is the difficulty of taking good-quality images. To overcome this barrier, this paper focuses on reducing the incidence of motion blur, caused by camera shake and other movements, which is a common cause of poor-quality, unusable images. We propose a simple technique for detecting camera shake, using the smartphone's built-in accelerometer (i.e. tilt sensor) to alert the user in real-time to any shake, providing feedback that enables him/her to hold the camera more steadily. A preliminary experiment with a blind iPhone user demonstrates the feasibility of the approach.
{"title":"Anti-blur feedback for visually impaired users of smartphone cameras","authors":"P. Sanketi, J. Coughlan","doi":"10.1145/1878803.1878847","DOIUrl":"https://doi.org/10.1145/1878803.1878847","url":null,"abstract":"A wide range of smartphone applications are emerging that employ image processing and computer vision algorithms to interpret the contents of images acquired by the phone's built-in camera, including applications that read product barcodes and recognize a variety of documents and other objects. However, almost all of these applications are designed for normally sighted users; a major barrier for visually impaired users (who might benefit greatly from such applications) is the difficulty of taking good-quality images. To overcome this barrier, this paper focuses on reducing the incidence of motion blur, caused by camera shake and other movements, which is a common cause of poor-quality, unusable images. We propose a simple technique for detecting camera shake, using the smartphone's built-in accelerometer (i.e. tilt sensor) to alert the user in real-time to any shake, providing feedback that enables him/her to hold the camera more steadily. A preliminary experiment with a blind iPhone user demonstrates the feasibility of the approach.","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"27 1","pages":"233-234"},"PeriodicalIF":0.0,"publicationDate":"2010-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85318981","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}
{"title":"The dark side impacts of IT on society","authors":"Bruce Sterling","doi":"10.1145/2723279.2723294","DOIUrl":"https://doi.org/10.1145/2723279.2723294","url":null,"abstract":"","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"4 1","pages":"15"},"PeriodicalIF":0.0,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79440190","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}
Perception is best understood as the interpretation of sensory data in terms of models of how the world is structured and how it behaves; these models are exactly those that are most useful for generation of computer images. By recognizing and exploiting this commonality we have been able to make surprising progress in both fields.
{"title":"Models (fractal and otherwise) for perception and generation of images","authors":"A. Pentland","doi":"10.1145/800171.809632","DOIUrl":"https://doi.org/10.1145/800171.809632","url":null,"abstract":"Perception is best understood as the interpretation of sensory data in terms of models of how the world is structured and how it behaves; these models are exactly those that are most useful for generation of computer images. By recognizing and exploiting this commonality we have been able to make surprising progress in both fields.","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"8 1","pages":"228-229"},"PeriodicalIF":0.0,"publicationDate":"1984-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82407638","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}
Cooperation between a human expert and an image processing system can give much better results than either the human or computer working alone. The computer must display geometrical information that exploits the perceptual characteristics of the human user, while the human must convey to the computer system ideas that can result in practical computation. We discuss new image understanding systems with human interfaces that support a powerful dialog about image features and characteristics.
{"title":"Interactive image understanding","authors":"A. Hanson","doi":"10.1145/800171.809629","DOIUrl":"https://doi.org/10.1145/800171.809629","url":null,"abstract":"Cooperation between a human expert and an image processing system can give much better results than either the human or computer working alone. The computer must display geometrical information that exploits the perceptual characteristics of the human user, while the human must convey to the computer system ideas that can result in practical computation. We discuss new image understanding systems with human interfaces that support a powerful dialog about image features and characteristics.","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"26 1","pages":"228-229"},"PeriodicalIF":0.0,"publicationDate":"1984-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73308048","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 caricature is a graphical coding of facial features that seeks, paradoxically, to be more like the face than the face itself. A theory of computation for caricatures of frontal faces has been developed and implemented in computer graphics. The caricature generator starts with a digitized image of a face and distorts a line drawing representation of the face relative to a norm. This transformation emphasizes perceptually significant information, reduces noise, and exploits some of the same mechanisms used in human memory for faces.
{"title":"Caricatures from images","authors":"S. Brennan","doi":"10.1145/800171.809631","DOIUrl":"https://doi.org/10.1145/800171.809631","url":null,"abstract":"A caricature is a graphical coding of facial features that seeks, paradoxically, to be more like the face than the face itself. A theory of computation for caricatures of frontal faces has been developed and implemented in computer graphics. The caricature generator starts with a digitized image of a face and distorts a line drawing representation of the face relative to a norm. This transformation emphasizes perceptually significant information, reduces noise, and exploits some of the same mechanisms used in human memory for faces.","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"27 1","pages":"228-229"},"PeriodicalIF":0.0,"publicationDate":"1984-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89485921","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 talk will illustrate how map database access techniques can be used interactively by pointing at imagery that is in camera correspondence with a geodetic coordinate system; map knowledge is used to extract roads, buildings, and other features, and to generate 3D scenes by fusion of information from traditional geographic information systems, semantic oriented spatial databases, and imagery.
{"title":"Images as MAPS / MAPS from images","authors":"D. McKeown","doi":"10.1145/800171.809630","DOIUrl":"https://doi.org/10.1145/800171.809630","url":null,"abstract":"This talk will illustrate how map database access techniques can be used interactively by pointing at imagery that is in camera correspondence with a geodetic coordinate system; map knowledge is used to extract roads, buildings, and other features, and to generate 3D scenes by fusion of information from traditional geographic information systems, semantic oriented spatial databases, and imagery.","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"4 1","pages":"228-229"},"PeriodicalIF":0.0,"publicationDate":"1984-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73008843","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 microcomputer differs from a mainframe or a minicomputer in size, cost and power. Typically, micros are smaller, cost less and do not have the throughput of a mainframe. However, with today's technological improvements, microcomputers have surpassed the mainframes of yesteryear. Local processing and small data bases have become usual applications.
{"title":"Personal computers in the corporate environment (Panel)","authors":"Vi Benefits","doi":"10.1145/800173.809708","DOIUrl":"https://doi.org/10.1145/800173.809708","url":null,"abstract":"A microcomputer differs from a mainframe or a minicomputer in size, cost and power. Typically, micros are smaller, cost less and do not have the throughput of a mainframe. However, with today's technological improvements, microcomputers have surpassed the mainframes of yesteryear. Local processing and small data bases have become usual applications.","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"84 1","pages":"123"},"PeriodicalIF":0.0,"publicationDate":"1983-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82733972","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}
{"title":"Proceedings of the ACM 1982 Annual Conference, Dallas, TX, USA, October 25-27, 1982","authors":"","doi":"10.1145/800174","DOIUrl":"https://doi.org/10.1145/800174","url":null,"abstract":"","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1982-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91396532","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}
Design data management is an emerging sub-discipline of database systems that is concerned with the management of data quite unlike that found in conventional banking, personnel, or order-entry data- bases. They contain information describing the design of complicated “engineered” objects, such as ships, buildings, mechanical devices, and integrated circuits. These objects are designed by teams of engineers who need concurrent, yet controlled access to the data. Very often the view of an object as seen by one group will be different from that of others (e.g., the plumber's view of a building is very different from the electrician's view). The members of the panel include Mr. Steven Hoffman, Calma Corporation, Mr. Douglas Gilbert, Sperry-Univac, and Dr. Roger Haskin, IBM. After a brief presentation by each panelist describing his experience with design data and his assessment of how it should be managed, the panel will discuss the following questions. Audience participation is invited, of course.
{"title":"Issues in design data management (Panel Session)","authors":"R. Katz","doi":"10.1145/800174.809798","DOIUrl":"https://doi.org/10.1145/800174.809798","url":null,"abstract":"Design data management is an emerging sub-discipline of database systems that is concerned with the management of data quite unlike that found in conventional banking, personnel, or order-entry data- bases. They contain information describing the design of complicated “engineered” objects, such as ships, buildings, mechanical devices, and integrated circuits. These objects are designed by teams of engineers who need concurrent, yet controlled access to the data. Very often the view of an object as seen by one group will be different from that of others (e.g., the plumber's view of a building is very different from the electrician's view). The members of the panel include Mr. Steven Hoffman, Calma Corporation, Mr. Douglas Gilbert, Sperry-Univac, and Dr. Roger Haskin, IBM. After a brief presentation by each panelist describing his experience with design data and his assessment of how it should be managed, the panel will discuss the following questions. Audience participation is invited, of course.","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"42 1","pages":"189"},"PeriodicalIF":0.0,"publicationDate":"1982-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90260898","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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