Interactive Video Object Recognition and Purchase Integration
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Solution Overview
Problem
Users face difficulties in purchasing products while watching videos online due to the inability to directly interact with objects in the video, requiring separate network searches to identify and purchase items.
Innovation Solution
A data processing method and system that recognizes photographic objects in videos, allowing users to perform operations directly on recognized objects without needing to search the network, by encoding image and recognition information into video data and creating interactive operation areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users separately search the network to purchase items seen in videos, then they can find and purchase the items, but the operation process becomes complex and time-consuming
Solution Approach 1:
The system performs preliminary recognition of photographic objects in the video and pre-creates operation areas with associated purchase functions. When the video is played, the operation areas are already prepared and linked to the corresponding items, so users can directly interact with them during video playback without needing to separately search for the items. This preliminary preparation eliminates the need for post-video searching and significantly reduces operation steps and time consumption.
2Adaptability or versatility
If the operation area changes position to follow the photographic object in the video, then the user can always interact with the object, but the system complexity increases
Solution Approach 1:
The operation area is designed to dynamically follow the photographic object during video playback. The system continuously tracks the position and movement of the photographic object in real-time and automatically adjusts the operation area's position to maintain it over the object. This dynamic adaptation allows users to interact with moving objects throughout the video without manual repositioning, enhancing versatility while the automated tracking minimizes the perceived complexity for users.
Data Source
AI summary
The invention provides a data processing method, comprising: a first terminal performs image acquisition on at least one photographic object entity, and encodes the image and corresponding recognition information to form video data which is sent to a second terminal; the second terminal performs data separation on the video data to obtain a video file and recognition information associated with at least one photographic object in the video file; the second terminal recognizes at least one photographic object in the video file according to the recognition information, and forms a corresponding operation area in the video file; and when the video file is played, the second terminal performs an associated operation function according to a detected operation action on a designated operation area.


