Video Brand Detection Heat Maps for Advertising Rate Analysis
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Solution Overview
Problem
Conventional object detection systems in video analysis struggle with the detection of advertising logos and require extensive retraining for new logos, are slow, and lack metrics for advertisement parameters, making them inefficient for brand advertising evaluation.
Innovation Solution
A system and method utilizing a video splitter, brand detector, semantic segmentation model, and video action recognition module to compute brand advertising rates through open set detection, scene understanding, and user focus analysis without retraining, generating heat maps and combining inputs to calculate brand advertising rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional object detection systems are used for logo detection, then detection capability is provided, but extensive retraining is required for new logos which takes several hours to several days
Solution Approach 1:
The system segments the logo detection task into template matching and similarity comparison components. Instead of retraining a general-purpose object detection model for each new logo, the system creates specific templates for each logo and compares incoming images against these templates using similarity metrics, enabling rapid adaptation without retraining.
Solution Approach 2:
The system changes the approach from model retraining (changing model parameters through training) to template parameter adjustment. By modifying template parameters such as logo samples, similarity thresholds, and matching criteria, the system adapts to new logos instantly without the time-consuming retraining process.
2Loss of information
If conventional object detection systems are used, then logo detection is possible, but the system lacks metrics for advertisement parameters needed for monetization
Solution Approach 1:
The system is designed to perform multiple functions: logo detection, advertisement parameter measurement, and monetization metric calculation. By integrating these functions into a single system, it provides comprehensive advertisement analysis capabilities without requiring separate complex systems for each function.
Solution Approach 2:
The system introduces intermediary components that bridge logo detection and monetization metrics. These intermediaries include template matching engines and parameter calculation modules that translate detection results into actionable advertisement metrics, enabling monetization without direct integration of complex external systems.
3Productivity
If conventional detection methods are used, then basic logo identification is achieved, but speed and efficiency for brand advertising evaluation are insufficient
Solution Approach 1:
The system performs preliminary actions by pre-processing logo templates and pre-calculating reference parameters before actual detection. This includes creating template libraries, pre-computing similarity metrics, and preparing advertisement parameter frameworks in advance, which significantly speeds up real-time detection and evaluation without sacrificing precision.
Data Source
AI summary
A system and a method for performing brand detection and brand analysis in a video are disclosed herein. The method comprises receiving the video for performing the brand detection thereon; splitting the video for obtaining input video frames; performing an open set detection on the input video frames to compute instances of detecting brand media; determining an exact square region in which the brand media is occupied within the input video frame; resolving a scene understanding task in the input video frame; detecting crucial moments in the video; identifying an area on the input frame where a user's attention is focused to provide user focus index; generating heat maps using the detection of crucial moments and user focus index; and combining above inputs from the brand detection and the scene understanding into the heat maps for all the input video frames of the video for computing a brand advertising rate.