This thesis deals with research of the marketing importance of women's body image. The research methods including quantitative research performed by assisted interviewing and content analysis of printed advertisements in five magazines targeted on female population were used. The aims of the interviewing are to determine the current physical condition of Czech women and their views on the display "ideal" of feminine beauty in advertising. The content analysis finds out "ideal" state of physical beauty presented to the society. Based on these two methods the differences between the current and "ideal" state was found and final recommendation regarding the suitability of using beautiful women displayed for advertising purposes, the creation of advertisement using beautiful women images, the appropriate media mix and the correct timing were further specified. The research information was completed by data from MML-TGI.

Target of my final thesis is to explore elements of body image in TV commercials. In the thesis I focused on body image, marketing communication and advertisement. I tried to map what are people like in TV spots through content analysis. I did also analyze marketing research data of Market & Media & Lifestyle agency. I chose those data with due regard for perception of body image by consumers and I focused on TV advertisements issues.

The type of media shared through social media channels has shifted from text content to include an increasingly large number of images. Visual traces resulting from people's online social behavior have the potential to reveal insights about our habits, activities and preferences. The role of social network-related factors have been well studied in previous research. Yet, few studies have sought to understand how user behavior in social networks is dependent on the image itself. The goal of my dissertation is to understand how people engage with image content, and I seek to uncover the role of presentation and image content on people's preferences. To achieve this goal, I study the image sharing communities, Flickr, Instagram and Pinterest, using quantitative and qualitative methods. First, I show how colors -- a fundamental property of an image -- could impact the virality of an image on Pinterest. I consider three dimensions of color: hue, saturation and brightness and evaluate their role in the diffusion of the image on Pinterest, while controlling for social network reach and activity. Next, I shift the focus from abstract colors to a higher-level presentation of images. I study the role of filters on the Flickr mobile application as proxies to visual computation. To understand how people use filters, I conduct an interview study with 15 Flickr mobile users about their filter use. I analyze Flickr mobile images to discover the role of filters in engaging users. Presentation is not the only factor that makes an image interesting. To gain deeper insights in what makes an image more engaging in social image sharing sites, I study the images of people on the Instagram network. I compare images of people with those that do not have faces and find that images with human faces are more engaging. I also look at the role of age and gender of people in the image in engaging users. Finally, I examine different content categories, with and without filters, and study the impact of content category on engagement. I use large-scale data from Flickr and interviews with Flickr mobile users to draw insights into filter use and content engagement. This dissertation takes a first step toward understanding content and presentation of images and how they impact one aspect of user behavior online. It provides several theoretical and design implications for effective design, creation and imposition of rules on image sharing communities. This dissertation opens up a new direction for future research in multimedia-mediated communication.

This thesis focuses on the ways of depicting female beauty in ELLE magazine. In the theoretical part, the concept of beauty is defined and the development of the ideal of beauty and the influence of the media on people are described. The attitudes and research on beauty in the media are mentioned and primarily the emphasis is put on depiction of female beauty in the media. The reasons for women accepting the ideal of beauty presented by the media, the real nature of beauty in the media and the possible influence on women's self-esteem are dealt with, as well. The thesis also introduces the development of female magazines and their current role on the Czech market. At the end of the thesis, the campaigns aiming at unreal ideal of beauty in the media are critically evaluated. Mixed research method is used in the thesis; by means of the content analysis the photos of women (in advertisements as well as other pictures) are investigated with emphasis on their characteristics and in connection with the topic of the articles. The semiotic analysis examines the front pages and the message they convey. The aim of the analysis was to determine the most frequent depiction of women and to establish the proportion of articles dealing with appearance.

The Master's Thesis deals with the marketing research of the body image meaning in female and male life style magazines chosen. The main aim is to analyze the advertisement using the quantitative content analysis and to identify the most common elements presented, furthermore to analyse these elements based on the data obtained and to find out the difference of human body presented when female and male are the target groups. The secondary aim is defined as to prepare this analysis for the front-page of magazines chosen as well. The thesis is divided to several parts. The first part deals with the basic theoretical background of marketing communication focused on daily press, next section concentrates on the body image issue and self body feeling. The nature of practical section is the content analysis evaluation, summary of data obtained and drawing a conclusion together with marketing suggestion.

Aestheticization belongs to a group of interrelated concepts which try to describe and explain current changes in political communication. The theoretical part of this thesis incorporates the notion of "aestheticization" into the context of considerations of political communication, and then - based on an analysis of its conceptualizations in aesthetic theories, critical social theories and political philosophy - it proposes its determination useful for media studies. The aim of the empirical part of this thesis is to examine the hypothesis about aesthetization of political communication in case of media content. We base this on Wolfgang Welsch's distinction between surface and deep-structure aestheticization. Using quantitative content analysis we examine changes in media coverage of five Czech general elections (i. e. the elections to the Chamber of Deputies of the Parliament of the Czech Republic between 1996 and 2010) in two Czech dailies Právo and Mladá fronta Dnes. While we have not proved the surface aestheticization, some inclinations towards deep-structure aestheticization have been noticed. Nevertheless, these results raise doubts about appropriateness of the content analysis as a methodological tool for researching aestheticization. As an outcome of this discussion we make some...

隨著數位影像軟、硬體裝置上進步與普及，普羅大眾對於影像的使用不僅限於日常生活之中，更隨著網路分享概念等Web技術的擴張，這些數量龐大的影像，在使用上更朝向娛樂化、趣味化及個人化的範疇。本論文提出結合影像處理中的人臉特徵分析（Facial Features Analysis）資訊以及影像內容分割（Image Content Segmentation）及影像變形轉換（Image Warping and Morphing）等技術，設計出可以將真實照片中的人臉轉換成為卡通化的肖像，供使用者於各類媒體上使用。卡通化肖像不但具有隱藏影像細節，保留部份隱私的優勢，同時又兼具充份擁有個人化特色的表徵，透過臉部動畫的參數（Facial Animation Parameters）設定，我們提出的卡通化系統更容許使用者依心情，來合成喜、怒、哀、樂等不同表情。另外，運用兩種轉描式（Rotoscoping）及圖像變形（Morphing）法，以不同的合成技巧來解決不同裝置在限定顏色及效果偏好上的各類需求。 / As the acquisition of digital images becomes more convenient, diversified applications of image collections have surfaced at a rapid pace. Not only have we witnessed the popularity of photo-sharing platforms, we have also seen strong demand for novel mechanism that offers personalized and creative entertainment in recent years. In this thesis, we proposed and implemented a personal caricature generator using transformative approaches. By combing facial feature detection, image segmentation and image warping/morphing techniques, the system is able to generate stylized caricature using only one reference image. The system can also produce multiple expressions by controlling the MPEG-4 facial animation parameters (FAP). Specifically, by referencing to various pre-drawn caricature in our database as well as feature points for mesh creation, personalized caricatures are automatically generated from the real photos using either rotoscoping or transformative approaches. The resulting caricature can be further modified to exhibit multiple facial expressions. Important issues regarding color reduction and vectorized representation of the caricature have also been discussed in this thesis.