Latent-Vector Video Transmission With Interpolated Frames
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Solution Overview
Problem
The transmission of video content requires large bandwidths, making it expensive, and there is a need for a system and method to reduce the bandwidth required during the transmission of video images and audio.
Innovation Solution
A system comprising a sending unit with a frame selector and encoder that generates compressed frame latent vectors, and a receiving unit with an interpolator and decoder that reconstructs image frames using interpolation, allowing for efficient data transmission and reconstruction of images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video content is transmitted with high quality and frame rate, then image quality is improved, but bandwidth requirement increases
Solution Approach 1:
The encoder performs preliminary compression of video frames into latent vectors before transmission. By pre-processing the video data into a compressed latent representation, the system reduces the amount of data that needs to be transmitted while preserving the essential visual information needed for high-quality reconstruction at the receiver end.
Solution Approach 2:
The system transforms video data from pixel space to latent space, changing the representation parameters. This parameter transformation allows the same visual information to be encoded in a more compact form, reducing bandwidth requirements while maintaining the ability to reconstruct high-quality images through the decoder.
2Stability of the object's composition
If all video frames are transmitted, then smooth representation is achieved, but data transmission volume increases
Solution Approach 1:
The system performs preliminary selection of key frames and pre-computes latent vectors for these frames before transmission. By identifying and encoding only the most important frames at full quality, the system maintains smooth visual representation while significantly reducing the total data volume that needs to be transmitted.
Solution Approach 2:
Instead of transmitting all frames with equal quality, the system applies partial action by transmitting only selected key frames at high quality and using interpolation for intermediate frames. This approach achieves sufficient smoothness for visual perception while transmitting far less data than would be required to send every frame.
3Quantity of substance
If compression is applied to reduce bandwidth, then bandwidth requirement is reduced, but image quality deteriorates
Solution Approach 1:
The system changes the representation parameters by transforming video frames into latent vectors that capture the essential visual information in a compressed form. This parameter transformation enables efficient compression while preserving the ability to reconstruct high-quality images, as the latent space representation maintains the critical features needed for accurate decoding.
Solution Approach 2:
The decoder creates a reconstructed copy of the original video frames from the compressed latent vectors. By using the latent vectors as a compact template and generating full-resolution frames through decoding and interpolation, the system produces high-quality image copies that closely resemble the original content despite the reduced transmission data.
4Quantity of substance
If frame rate is reduced to lower data transmission, then bandwidth requirement is reduced, but video smoothness deteriorates
Solution Approach 1:
The system pre-identifies key frames and pre-computes their latent vectors before transmission. By having these essential frames ready in compressed form, the system can maintain a lower effective frame rate for transmission while still providing smooth visual output through interpolation of the pre-prepared key frames.
Solution Approach 2:
The interpolator acts as an intermediary that generates intermediate frames between the transmitted key frames. This intermediary process creates the appearance of higher frame rates and smoother video motion by synthesizing the missing frames from the transmitted key frames, thereby maintaining video smoothness without requiring high data transmission rates.
Data Source
AI summary
A system for the transmission and receiving of data comprising: a sending unit configured to receive frames of an object of interest, the sending unit comprising: a frame selector creating selected frames by selecting frames from the frames of the object of interest at set intervals, the frames not selected by the frame selector remaining on the sending unit; an encoder generating from the selected frames, selected frame latent vectors being a compressed representation of the frames of the object of interest; the sending unit sending the selected frame latent vectors to a receiving unit. The receiving unit, configured to receive the selected frame latent vectors, comprises: an interpolator reconstructing by interpolation a number of in-between latent vectors between two successive selected frame latent vectors; the interpolator sending both the received selected frame latent vectors and reconstructed in-between latent vectors to a decoder; and the decoder decoding both the received selected frame latent vectors and reconstructed in-between latent vectors and generating frames.