Image Processing for Object-Matched Media Transitions
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Solution Overview
Problem
Conventional electronic devices require user input to dispose data in sections and suffer from sudden screen switching due to discontinuity between different data sets, leading to high user-dependency and disruptive transitions.
Innovation Solution
An electronic device determines data disposition based on similarities between objects in different media data sets, identifying corresponding reproduction sections and smoothly transitioning between them.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional electronic devices require user input to dispose data in sections, then the device can control data placement, but user-dependency increases and operation becomes more complex
Solution Approach 1:
The system automatically determines data disposition by analyzing similarity between objects in different media data sets, eliminating the need for user input to specify disposition sections. The processor autonomously identifies corresponding reproduction sections and arranges data based on object similarity, allowing the system to serve itself without user intervention.
Solution Approach 2:
The system performs preliminary analysis of media data to identify objects and their similarities before actual data disposition occurs. By pre-processing the data to extract object information and calculate similarity metrics, the system prepares the necessary information in advance to automatically determine disposition sections without requiring real-time user input.
2Productivity
If conventional electronic devices switch between different data sets, then data can be replaced, but sudden screen switching occurs due to discontinuity
Solution Approach 1:
The system uses similarity information as feedback to guide the switching process between different media data sets. By continuously monitoring and comparing object similarities during data switching, the system adjusts the transition to maintain continuity, ensuring that the screen composition remains stable while still allowing productive data switching.
Solution Approach 2:
The system performs preliminary identification of corresponding reproduction sections based on object similarity before executing the data switch. This advance preparation allows the system to plan smooth transitions that maintain screen continuity, avoiding sudden switching by pre-determining how the new data set relates to the existing one.
3Device complexity
If conventional electronic devices dispose data in sections without similarity analysis, then the process is simple, but screen switching becomes disruptive
Solution Approach 1:
The system introduces similarity as a new parameter for data disposition decisions. Instead of using fixed or random disposition rules, the system dynamically adjusts data placement based on calculated similarity values between objects. This parameter change transforms the disposition process from simple to adaptive, eliminating disruptive screen switching while maintaining reasonable process complexity through automated similarity calculation.
Data Source
AI summary
An image processing method and/or an electronic device supporting same. The electronic device may include a display and a processor, wherein the processor may be configured to: identify a first playback section in first media data including first video data and first audio data; identify a second playback section, on the basis of at least one of second audio data and a degree of similarity to a first object included in a first image corresponding to an end point of the first playback section, in second media data including second video data and the second audio data; and display, on the display, a screen according to layback of content including the first playback section and the second playback section.