Preliminary Film Product Testing With Automated Audience Reactions
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Solution Overview
Problem
The challenge in film production is the difficulty in predicting the success of a film with the target audience during early stages, leading to unnecessary resource consumption and inefficiencies due to time-consuming expert evaluations and inadequate consideration of audience feedback.
Innovation Solution
A method and device for testing and correcting preliminary film products by presenting them to a selected group, recording conscious and subconscious reactions, and using AI-based evaluation to generate rating results, allowing for objective and automated assessments and adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If expert evaluations are used to assess film materials, then professional insight is provided, but the process is time-consuming and resource-intensive
Solution Approach 1:
The patent uses facial recognition technology to create a digital copy of the audience member's face and compares it against a database of known faces to identify the person. This automated copying and comparison process replaces manual expert evaluation, providing reliable identification without the time consumption of human assessment.
Solution Approach 2:
The patent replaces the mechanical process of manual expert evaluation with an automated optical recognition system. The facial recognition algorithm processes images and provides assessment data automatically, substituting human mechanical evaluation with electronic processing to save time while maintaining reliability.
2Measurement precision
If individual experts are engaged for assessment, then detailed feedback is obtained, but the view of the target group is not sufficiently considered
Solution Approach 1:
The patent employs a facial recognition system that can identify and track multiple different audience members across various frames. This universal recognition capability allows the system to gather feedback from diverse target group members simultaneously, providing both detailed individual feedback and overall group representation in one unified assessment process.
3Stability of the object's composition
If uniform evaluation methods are applied, then consistency is achieved, but the complexity of the evaluation process increases
Solution Approach 1:
The patent implements a facial recognition system that automatically performs identification and tracking without requiring manual intervention. The system self-regulates by comparing captured images against stored references and maintaining consistent evaluation criteria through automated algorithms, achieving uniformity while reducing operational complexity.
Data Source
AI summary
A method for testing a preliminary film product (FVP) is described. With the method a preliminary film product (FVP) is provided to a selected circle of test persons (8). During or immediately after receipt of the preliminary film product (FVP) by the test persons (8) reaction signals (E, ZS) are recorded section-wise by the test persons (8). The recorded reaction signals (E, ZS) are automatically evaluated for generating rating result data (BE) of the individual sections (A). Optionally an overall test result (GA) of the preliminary film product (FVP) is also ascertained in dependence of the rating result data (B). Furthermore a method for correcting a preliminary film product (FVP) is described. In addition a preliminary film product testing device (20) is described. Moreover a preliminary film product correcting device is described.