TV Channel Identification Using Station Logo Feature Extraction
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Solution Overview
Problem
Conventional television channel identification methods have low precision due to the simple comparison of captured station logos with pre-stored images, leading to inaccuracies in identifying TV channels based on station logos in video images.
Innovation Solution
A digital video conversion device that extracts station logo characteristic sets from TV signals, calculates similarity scores with pre-stored templates, and identifies the matching channel information, improving precision by using advanced image processing techniques such as block-level color histograms and perceptual hash values for static opaque and semi-transparent logos respectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If simple comparison of captured station logos with pre-stored images is used, then the device complexity is low, but the measurement precision of channel identification is low
Solution Approach 1:
The patent segments the station logo image into multiple blocks (e.g., 8x8 pixel blocks) and extracts color histogram features from each block. This segmentation allows for more detailed comparison of logo characteristics while maintaining manageable processing complexity through structured analysis of divided regions.
Solution Approach 2:
The patent transforms the station logo from raw pixel data into extracted parameters including color histograms, dominant colors, and color distribution characteristics. This parameter transformation enables more precise identification by comparing abstracted features rather than raw images, improving measurement precision while reducing the complexity of direct image comparison.
2Measurement precision
If advanced image processing techniques are used to improve identification precision, then the measurement precision increases, but the use of energy and processing time increase
Solution Approach 1:
The patent extracts only the essential features from the station logo image, such as color histograms and dominant colors, rather than processing the entire image. This extraction approach maintains identification precision by capturing key characteristics while significantly reducing the energy and time required for processing compared to analyzing all pixel data.
Solution Approach 2:
The patent applies partial action by processing only specific regions of the logo (through block segmentation) and extracting only relevant color features. This selective processing achieves sufficient identification precision without the excessive energy consumption that would result from analyzing every pixel and attribute of the entire logo image.
Data Source
AI summary
A digital video conversion device is communicatively coupled to a TV set and a TV signal source, respectively, to pass TV signals from the TV signal source to the TV set. Upon receipt of a TV channel identification request from a mobile terminal via a wireless communication channel, the digital video conversion device acquires an image from the TV signals currently broadcasted on the TV set and extracts a plurality of station logo characteristic sets from the image, each station logo characteristic set corresponding to one of a plurality of station logo templates. After calculating a similarity score between each station logo characteristic set and a corresponding station logo template, the digital video conversion device identifies one of the plurality of station logo templates as matching the image based on their similarity scores and returns TV channel information associated with the identified station logo template to the mobile terminal.