Media Guidance Application Object Detection for Content Navigation
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Solution Overview
Problem
Viewers face inefficiencies in finding interesting portions of media content, such as television programs, as they currently rely on guessing whether selected content will be engaging, leading to inefficient navigation.
Innovation Solution
A media guidance application that identifies specific features in media assets, compares them to a database of commonly occurring objects, and determines appropriate actions based on context, allowing for features like skipping to playback points or transmitting data to mobile devices when the user is not accessing the media.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If viewers manually navigate through media content to find interesting portions, then they can access content they enjoy, but the process is inefficient and time-consuming as users essentially guess whether selected content will be interesting
Solution Approach 1:
The system performs automatic object detection and analysis without requiring user intervention. The media guidance application independently identifies interesting portions by detecting objects and evaluating contextual factors, then automatically navigates to or transmits data about these portions, eliminating the need for manual guessing and navigation by the user.
Solution Approach 2:
The patent replaces manual mechanical navigation (user clicking through content) with an automated computer vision system that uses object detection algorithms, machine learning models, and contextual analysis to identify and navigate to interesting portions automatically.
2Adaptability or versatility
If the system transmits media asset data to a mobile device when the user is not accessing the media asset, then the user can still access interesting content later, but this requires the user to be away from the primary viewing device
Solution Approach 1:
The system performs preliminary analysis of the media asset to detect objects and evaluate contextual factors before the user needs to access the content. By pre-identifying interesting portions and preparing transmission data in advance, the system ensures that when the user does access the content (whether on the original device or a mobile device), the most relevant portions are readily available without requiring the user to manually search through content.
Data Source
AI summary
Systems and methods are provided herein for transmitting a portion of a media asset containing an object to a user. In many media assets, specific features appear at portions of a program that users find interesting. These features can be compared with a database of stored objects that commonly appear in media assets to determine the object corresponding to the feature. The system may store data related to the media asset containing the object and, if the user is not currently accessing the media asset, may transmit the data to the user's mobile device.


