Popular culture sheds light on various inequalities

“CHOICE A” JUST WRITE AN INTRO AND “what are you thinking for your final project?”

Categorize each sentence as one (or more) of the 4 D’s: define, divide (primary source, info about source analysis),discuss (background info), drive home.

Why is this draft introduction insufficient? What other things are you supposed to have in an introduction? Put another way, do you know exactly what the paper will do?

Give suggestions (at least 3-4) for what the writer should do to focus and improve the intro.
Post the list of your 4 D’s categorizing as well!
you can just list it as below
1st sentence: Define
2nd sentence: Discuss, Define
3rd sentence: whatever

Increasingly in modern times, popular culture sheds light on various inequalities that arise from traditional rigid institutional structures. Beyoncé Knowles, an iconic African-American pop-singer, in many of her songs attempts to call attention to the ways in which women are subjected to an ideal image of beauty and how damaging that can be to a woman’s physical and mental health. In her song “Pretty Hurts,” Beyoncé emphasizes the oppression women face as a result of the public’s perception of beauty and behavior expectations. Through poetic tools such as metaphor, irony, imagery, repetition, and style, she stresses the struggle to reach perfection by referencing how beauty pageants, the plastic surgery industry, and the media contribute to the pain so many women are forced to endure. In relationship, philosopher Michael Foucault, in various pieces of work, discusses the formation of power, control, and discipline in modern society and how that establishes an idealized image that society is supposed to adhere to. Thus, based on an analysis of Beyoncé’s “Pretty Hurts,” Michael Foucault’s ideology regarding the “normalizing gaze” and “docile bodies” provides a theoretical lens from which to understand how society’s constant surveillance produces unrealistic and harmful standards for women.

Sample Solution

he goal is to segment a movie into shots and to select a representative key frame from each shot. IBM’s Multimedia Analysis and Retrieval System (IMARS) (Natsev, Smith, Tešié, Xie, & Yan, 2008) will be used for shot boundary detection. Since a key frame can represent a shot, the middle frame from each shot will be extracted as key frame for visual analysis.

3.1.2 Feature Extraction
Given the segmented clips, features are extracted in terms of actor appearance, genre, and visual descriptors.

Actor appearance
Actors are key to a consumer’s expectations of the movie. A good personalized trailer would feature those actors that are most relevant to a user’s interests. To recognize these actors, the easiest way is to use face recognition. A face recognition system using Eigenfaces (Turk & Pentland, 1991) will be implemented in OpenCV . Facial recognition using Eigenfaces promises great recognition accuracy of around 95% (Kannan et al., 2015).

Genre
Specific movie events can correspond to genres, i.e., a romantic shot in a movie should be classified as belonging to the romance genre, so that it is more likely to be recommended to someone who prefers romantic movies. These movie events are to be manually annotated for each shot as they cannot be automatically detected even using the most modern semantic concept detection methodologies (Kannan et al., 2015). This is because of the highly subjective nature of these movie events, and because “the low-level visual features trained for classification are not highly correlated with the corresponding event” (Kannan et al., 2015).

Visual descriptors

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