Social Image Systems: Past, Present, and Research Insights

This lecture provides an overview of social image systems, starting with a snapshot of present platforms like Flickr, Instagram, and Snapchat, followed by a look into 20th-century image sharing practices. It delves into research on social image systems, exploring concepts such as tags, communities, and computer vision. The lecture discusses the evolution of platforms like Instagram, from their launch to user engagement statistics. It also examines the social uses of personal photos, memory, identity, and self-expression. Additionally, it covers participatory culture, stock photography, and the motivations behind tagging in digital photography. The lecture concludes with insights into Flickr communities, groups, and the aggregation of images, tags, and users.

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Computer vision

Computer vision tasks include methods for , , and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the forms of decisions. Understanding in this context means the transformation of visual images (the input to the retina in the human analog) into descriptions of the world that make sense to thought processes and can elicit appropriate action.

Computer stereo vision

Computer stereo vision is the extraction of 3D information from digital images, such as those obtained by a CCD camera. By comparing information about a scene from two vantage points, 3D information can be extracted by examining the relative positions of objects in the two panels. This is similar to the biological process of stereopsis. In traditional stereo vision, two cameras, displaced horizontally from one another, are used to obtain two differing views on a scene, in a manner similar to human binocular vision.

Social networking service

A social networking service or SNS (sometimes called a social networking site) is a type of online social media platform which people use to build social networks or social relationships with other people who share similar personal or career content, interests, activities, backgrounds or real-life connections. Social networking services vary in format and the number of features. They can incorporate a range of new information and communication tools, operating on desktops and on laptops, on mobile devices such as tablet computers and smartphones.

Feature (computer vision)

In computer vision and , a feature is a piece of information about the content of an image; typically about whether a certain region of the image has certain properties. Features may be specific structures in the image such as points, edges or objects. Features may also be the result of a general neighborhood operation or feature detection applied to the image. Other examples of features are related to motion in image sequences, or to shapes defined in terms of curves or boundaries between different image regions.

Use of social network websites in investigations

Social network services are increasingly being used in legal and criminal investigations. Information posted on sites such as Twitter, Instagram, and Facebook has been used by police and university officials to prosecute users of said sites. In some situations, content posted on Myspace has been used in court to determine an appropriate sentence based on a defendant's attitude. The U.S. DOT National Highway Traffic Safety Administration (NHTSA) has made federal grants available to states to train law enforcement officers to use social media sites to identify events that may result in impaired driving or consumption by minors.

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