Black Sesame Technologies Inc.

Evelyn Chee

Yubo Duan

Shanlan Shen

Jieer Ouyang

This present invention discloses a personalized and user specific system for editing an image. The system utilizes voice commands that are supplemented by semantic learning to form semantic descriptors. In addition, the system also utilizes user preferences to term an edited image. The system is utilized especially by novice photo editors, to provide a desired filter effect to the image with relative ease.

Personalized semantic based image editing

The present invention discloses an intelligent cloud-based photo enhancement system to improve the quality and aesthetics of an image captured via an electronic device. The cloud-based photo enhancement system comprises a cloud database containing a collection of high-quality photos taken at various locations worldwide and under different environment settings. Information from photos stored in the cloud database taken using better photographic capability cameras is used to improve details that the new photo fails to capture. The system relies not only on machine learning models but also utilizes data associated with the new image collected from the hardware of the electronic device such as camera settings, GPS and phone sensors, which results in more reliable information.

Cloud based intelligent image enhancement system

The present invention discloses a multi-frame image super resolution system that utilizes both deep learning models and traditional models of enhancing the resolution of an image so that minimal computational resources are used. A frame alignment module of the invention aligns the frames of the image after which a processing module configured within the system process the Y and the UV channels of the image by using multiple deep and traditional resolution enhancement models. A merging unit merges the output of the processors to produce a super resolution image incorporating the advantages of both of the image enhancement methods.

Multi-frame image super resolution system

The present invention provides an intelligent and a flexible video enhancement system with improved visual quality of the video for better user experience. The video enhancement system enhances various types of videos and provides a user with better visual experience based on video corresponding features and personal preferences. The video enhancement system includes a dynamic analysis and adaptive processing techniques for enhancing video quality for seamless user experience.

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Singapore, Singapore

Evelyn Chee