Video Commodity Identification for Contextual Ad Delivery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional video advertising methods, such as pre-movie advertising and implicit embedded advertising, face challenges including user interference, limited information transfer, high costs, and inability to target interested audiences effectively.
Innovation Solution
An information processing method and system that allows users to select commodities from videos and receive corresponding advertisement information, including introductions, prices, and purchasing links, enabling direct purchases through a floating layer interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If pre-movie advertising is displayed at the beginning of video content, then advertisement delivery is achieved, but user experience deteriorates due to interference and abrupt appearance
Solution Approach 1:
The system performs preliminary analysis of video content to identify objects, scenes, and contexts before generating advertisements. This allows advertisements to be prepared in advance with relevant information and targeting data, enabling seamless integration into the video content without abrupt transitions that interfere with user experience.
Solution Approach 2:
The system introduces an intermediary processing layer that analyzes video content and generates intermediate advertisement data structures. This intermediary layer matches video context with advertisement content, creating smooth transitions and reducing the abruptness that causes user interference while maintaining effective advertisement delivery.
2Object-affected harmful factors
If pre-movie advertising time is limited to tolerable range, then user experience is maintained, but advertisement quantity delivered is reduced
Solution Approach 1:
The advertisement delivery system segments advertisement content into multiple short, context-relevant units distributed throughout the video rather than one long pre-movie advertisement. This allows increased total advertisement quantity while keeping each individual advertisement segment within tolerable time ranges that maintain user experience.
Solution Approach 2:
The system implements periodic advertisement delivery at strategically determined intervals throughout video playback based on context analysis. This periodic structure allows multiple advertisements to be delivered within user-tolerable time frames, increasing overall advertisement quantity without compromising user experience through excessive continuous advertising.
3Object-affected harmful factors
If implicit embedded advertising is used to avoid user interference, then user experience is improved, but information transfer capability is limited
Solution Approach 1:
The system adds an interactive dimension to implicit embedded advertising by incorporating clickable hotspots, hover information, and multi-layer content delivery. This allows rich information transfer about embedded products while maintaining the subtle, non-intrusive presentation style that improves user experience. Users can access detailed information on demand without being forced to watch lengthy advertisements.
4Object-affected harmful factors
If implicit embedded advertising provides no jump link or purchasing interface, then user experience is maintained, but conversion to purchasing is reduced
Solution Approach 1:
The system implements self-service purchasing capabilities where users can directly interact with embedded advertisement elements through intuitive interfaces. Users can click on products, view detailed information, and complete purchases without leaving the video platform or experiencing disruptive interruptions. This maintains user experience while enabling direct conversion pathways from viewing to purchasing.
5Quantity of substance
If pre-movie advertising targets all film watching users, then advertisement reach is maximized, but targeted delivery to interested users is impossible
Solution Approach 1:
The system dynamically changes advertisement delivery parameters based on real-time analysis of user preferences, viewing history, and contextual data. By adjusting parameters such as advertisement selection, timing, duration, and content based on user characteristics, the system achieves both broad reach and precise targeting, delivering relevant advertisements to interested user groups while maintaining overall high visibility.
Data Source
Figure 1-1
Figure 1-2
Figure 1-3
AI summary
An information processing method is disclosed. The method includes that: a second device acquires identification information of a commodity in a video; the second device acquires corresponding advertisement information according to the identification information of the commodity; and the second device contains the advertisement information in a first read response, and sends the first read response to a fourth device. An information processing apparatus and device are also disclosed.