After many decades of flourishing computer science it is now rather evident that in a world\ndominated by different kinds of digital information, both applications and people are forced to seek\nnew, innovative structures and forms of data management and organization. Following this blunt\nobservation, researchers in informatics have strived over the recent years to tackle the non-unique\nand rather evolving notion of context, which aids significantly the data disambiguation process.\nMotivated by this environment, this work attempts to summarize and organize in a researcher-friendly\ntabular manner important or pioneer related research works deriving from diverse computational\nintelligence domains: Initially, we discuss the influence of context with respect to traditional low-level\nmultimedia content analysis and search, and retrieval tasks and then we advance to the fields of\noverall computational context-awareness and the so-called human-generated contextual elements.\nIn an effort to provide meaningful information to fellow researchers, this brief survey focuses on\nthe impact of context in modern and popular computing undertakings of our era. More specifically,\nwe focus to the presentation of a short review of visual context modeling methods, followed by\nthe depiction of context-awareness in modern computing. Works dealing with the interpretation of\ncontext by human-generated interactions are also discussed herein, as the particular domain gains an\never-increasing proportion of related research nowadays. We then conclude the paper by providing a\nshort discussion on (i) the motivation behind the included context type categorization into three main\npillars; (ii) the findings and conclusions of the survey for each context category; and (iii) a couple of\nbrief advices derived from the survey for both interested developers and fellow researchers
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