Short Film Generation Using Automatic Element Selection
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Solution Overview
Problem
Existing short film generation/reproduction applications require users to manually select still pictures, music, and style, which can be time-consuming and result in unsuitable combinations, lacking object recognition and focus on specific objects, leading to undesirable visual effects and complex operation on personal computers, limiting entertainment value and compatibility with home appliances.
Innovation Solution
A short film generation/reproduction apparatus that includes a database unit for storing still pictures, music, and style features, with a selection unit for choosing elements, a feature reading unit for extracting features, a feature conversion unit for determining optimal elements, and a scenario generation unit for creating a cohesive video scenario, allowing users to select one element and automatically determine others, with object information extraction for focused visual effects and facial recognition for prioritizing specific objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually select still pictures, music, and style for short film generation, then the user can have full control over the content, but the operation becomes highly troublesome and time-consuming
Solution Approach 1:
The system automatically determines suitable still pictures, music, and style combinations based on the user's single selection, making the system serve itself by performing the selection task without human intervention. The automatic determination unit analyzes the user's choice and autonomously selects complementary elements, eliminating the need for manual selection of multiple elements.
Solution Approach 2:
The system pre-establishes correspondence relationships between different elements (still pictures, music, style) in advance, storing multiple determination rules in the storage unit. These pre-prepared rules enable rapid automatic determination when a user makes a selection, avoiding the need for real-time complex decision-making.
2Reliability
If users manually select all elements (still pictures, music, and style), then the user can ensure suitable combinations, but the selection process becomes complex and troublesome
Solution Approach 1:
The system uses the user's single selection as feedback to trigger the automatic determination process. The automatic determination unit analyzes the selected element and uses pre-stored correspondence rules to determine suitable combinations of other elements, ensuring reliability through rule-based matching while keeping the interface simple.
Solution Approach 2:
The correspondence relationship storage unit acts as an intermediary between the user's selection and the final element combination. It stores pre-established relationships and rules that mediate the selection process, translating a single user choice into a coherent set of compatible elements without requiring the user to understand or manage the complexity of combinations.
3Adaptability or versatility
If the application runs on personal computer with keyboard operation, then the application can be operated, but the operation becomes complex and troublesome
Solution Approach 1:
The system is designed to run on various home appliances including television sets, not just personal computers. By making the system universal and platform-independent, it can leverage the graphical interface capabilities of televisions and other appliances to provide simple button-based or remote control-based operation, improving ease of operation while maintaining broad adaptability.
4Productivity
If visual effects are applied without object recognition, then the processing is simple, but undesirable motions occur such as cutting out unimportant portions or losing focus on important objects
Solution Approach 1:
The system performs object recognition and identifies important portions of still pictures in advance, before applying visual effects. By pre-analyzing the image content and determining which objects or regions are important, the system can then apply effects with precision while maintaining efficient processing through automated analysis.
Data Source
AI summary
A short film generation/reproduction apparatus for generating video of a short film using at least one still picture and reproducing such video is comprised of: a picture feature extraction unit 1107 for extracting picture features from an input picture; a picture-to-style feature conversion unit 1115 for converting the picture features into style features; a picture-to-musical feature conversion unit 1118 for converting the picture features into musical features; a style determination unit 1116 for determining a style based on the style features; a music determination unit 1119 for determining a piece of music based on the musical features; and a scenario generation unit 1117 for generating a scenario by using the still picture, music and style.


