Video Stream Item Tagging for Interactive Ordering
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Solution Overview
Problem
Conventional e-commerce platforms do not allow buyers to interact with videos of merchandise for transaction purposes, limiting the convenience and intuitiveness of online shopping for living species items.
Innovation Solution
A method involving a server that receives and processes video streams from electronic devices to identify items, generate frames and tags, and combine them into a composite video stream, enabling buyers to order living species directly through motion images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional e-commerce platforms provide still images and video of merchandise, then buyers can view items from different angles and details, but buyers cannot interact with the video for transaction purposes, reducing convenience and intuitiveness
Solution Approach 1:
The video stream is segmented by identifying individual items within it, generating separate frames and tags for each item. This segmentation enables interactive ordering of specific items from the video without requiring the entire video to be static or pre-edited, thus improving ease of operation while managing system complexity through automated processing.
Solution Approach 2:
A server acts as an intermediary between the video source and the buyer's device. The server receives the video stream, performs item identification and frame generation, and transmits the processed composite video stream with interactive capabilities. This intermediary handles the complex processing tasks, keeping the buyer's device simple while enabling interactive ordering functionality.
2Adaptability or versatility
If e-commerce platforms use still images for merchandise display, then the system is simple to implement, but the shopping experience lacks intuitiveness and interactivity
Solution Approach 1:
The platform transitions from static image display to dynamic video stream processing. The system continuously receives video streams, identifies items in real-time, and generates interactive frames and tags that can be ordered directly. This dynamic approach enhances adaptability and interactivity while the automated processing manages the inherent complexity.
Solution Approach 2:
The server system performs multiple functions: receiving video streams, identifying items, generating frames and tags, combining them into composite video streams, and handling ordering operations. This multi-functional approach increases platform versatility, allowing a single system to handle both display and transaction functions that were previously separate.
3Ease of operation
If video streams are processed to identify and tag each item, then ordering convenience is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by continuously processing and preparing video streams in advance. Item identification, frame generation, and tag creation are performed proactively as video streams are received, so that when buyers view the composite video stream, items are already identified and ready for ordering, reducing actual ordering delay.
Solution Approach 2:
The video processing operates continuously rather than on-demand. The server continuously receives video streams, performs item identification and frame generation without interruption, and maintains a ready state for ordering. This continuous processing ensures that useful actions (item identification and preparation) are always available, improving ordering convenience while distributing processing load over time.
Data Source
AI summary
Methods for supplying, ordering, and transacting items based on motion images are proposed. The methods are applicable to a server and include the following steps. A first video stream is received from a first electronic device, and at least one item is identified from the first video stream to generate a frame and a tag associated with each item. An editing operation on a first tag is received from the first electronic device to generate first tag data. The first tag and the first frame are combined into the first video stream to generate a composite video stream. The composite video stream is transmitted to a second electronic device. In response to an ordering operation detected on the first item from the second electronic device, first ordering data is generated according to the first tag data to add the first item into an order list of the second electronic device.