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LANGUAGE BASED CULTURAL PHOTOGRAPHIC FILTERSAuthor: Bharat Munshi Date: 2017-03-31 Report no: IIIT/TH/2017/9 Advisor:Navjyoti Singh AbstractWhile the ability to see colours is innate, the perception itself is a guided process. Varying across languages and cultures, linguistic vocabulary is one such influence that guides our perception. People across languages name concepts and objects central to their existence. Words of universal significance, limited to the scope of the culture, are also added. In colour specifically, those found aesthetically and poetically noteworthy are named in addition to the essential ones. These names of colours act as verbal cues that help us memorise the colours of the spectrum and later, bias us as we try to recognise them back. This makes colour a cultural and local phenomenon. The documented colour vocabulary in languages, so far, is confined to basic colour terms and their corresponding hues in the limited munsell colour space. This thesis suggests a procedure to collect a comprehensive list of colours in a language, to try to identify the complete effect that language has on colour cognition. It also tries to rectify the dearth of collected data for Indian languages by gathering a list of colour names in Hindi, Telugu and Malayalam and also a detailed colour palette. A generalised digital survey platform is proposed to collect a colour palette of a language, through which, a list of colour names is mapped to one with corresponding ranges of hues. The palette procured thus, repre- senting the colour qualia of the language speakers, can be used to gain an insight into their collective colour perception and for building useful applications in various fields. This work addresses the need for a mechanism to analyse the distinctions between different colour palettes, and introduces an idea of cultural photographic filters. From the various aspects of a culture, here, language is chosen, and the colour hues that are endowed with names by the language, are used to build a filter. For the method of colour transfer, an innovative procedure is outlined and various modifications are suggested thereafter. Image segmentation and region based colour transfer is used to ensure an accurate and desired highlighting of colours. The results are compared with some existing procedures to show the improvement that the proposed method brings about. The method is used to bias a given image with colours that are perceptually closest to it in a reference language. This lets the resulting photographs reflect the changes in colour vocabularies of people from different languages and cultures. The variations are depicted visually for any observer to draw inferences from. This work also presents a possibility for various secondary filters over the basic language filter, for further biasing a photograph as needed. Plenty of criteria for secondary biases are discussed and demonstrated. Multiple approaches are also detailed for generation of the said biases and the results are presented to affirm the width that the proposed ideas bring to this field of study. Full thesis: pdf Centre for Exact Humanities |
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