Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Fig 1.

Refinement analysis of the content presentation module.

(a) content cube cut. (b) accidental event microcube visualization model.

More »

Fig 1 Expand

Fig 2.

Refinement analysis of emotional carryover.

(a) emotional grid diagram. (b) color matching results.

More »

Fig 2 Expand

Fig 3.

Scene transition microcube visualization model

(a)scene transitioned three times. (b) scene transitioned twice. (c) no scene transition. (d) scene transitioned six times.

More »

Fig 3 Expand

Fig 4.

Refinement analysis of element amplification

(a) color grid diagram of imagery elements. (b) sub-cube model. (c) this sample data contains 4 amplified elements.

More »

Fig 4 Expand

Fig 5.

Refinement analysis of element interactions

(a) color grid diagram of the decomposition of imagery elements. (b) microcube model of character element interactions. (c) decomposition of 7 interactions of character elements.

More »

Fig 5 Expand

Fig 6.

Refinement analysis of picture styles

(a) color grid diagram of primary colors. (b) visual framework of 5 primary colors.

More »

Fig 6 Expand

Table 1.

Overview of the microcube model constructed for popular/non-popular cities.

More »

Table 1 Expand

Fig 7.

(a) Relationship heat matrix diagram of short video screen visualization relationship heat matrix display of sample data for popular cities. (b) relationship heat matrix display of sample data for non-popular cities.

More »

Fig 7 Expand

Table 2.

Number of microcube models containing unexpected events and number of video pumping seconds frames.

More »

Table 2 Expand

Fig 8.

Accidental event stacking graph based on microcube model

(a) sample case of popular city image short video. (b) sample case of non-popular city image short video.

More »

Fig 8 Expand

Table 3.

The number of microcube models containing emotional elements and the video pumping second frames.

More »

Table 3 Expand

Fig 9.

Emotional resonance stacking diagram based on microcube model

(a) sample case of popular city image short video. (b) sample case of non-popular city image short video.

More »

Fig 9 Expand

Table 4.

Number and percentage of microcube models containing scene transformation.

More »

Table 4 Expand

Fig 10.

Scene transformation stacking diagram based on microcube mode

(a) sample case of popular city image short video. (b) sample case of non-popular city image short video.

More »

Fig 10 Expand

Table 5.

Number of microcube models containing intentional elements.

More »

Table 5 Expand

Fig 11.

Amplified stacking diagram of elements based on microcube model

(a) sample case of popular city image short video. (b) sample case of non-popular city image short video.

More »

Fig 11 Expand

Table 6.

Number of microcube models containing element interactions and number of video pumping seconds frames.

More »

Table 6 Expand

Fig 12.

Element interaction stacking diagram based on microcube model

(a) sample case of popular city image short video. (b) sample case of non-popular city image short video.

More »

Fig 12 Expand

Table 7.

Number of microcube models containing unexpected events and number of video pumping seconds frames.

More »

Table 7 Expand

Fig 13.

Screen style stacking diagram based on microcube model

(a) sample case of popular city image short video. (b) sample case of non-popular city image short video.

More »

Fig 13 Expand