Amanmeet Garg is a prominent inventor based in Sunnyvale, California. He has made significant contributions to the field of technology, particularly in media feature representation and automated video segmentation. With a total of eight patents to his name, Garg's work showcases his expertise and innovative spirit.

Latest Patents

One of Amanmeet Garg's latest patents is titled "Unified representation learning of media features for diverse tasks." This patent discloses methods and systems for generating general feature vectors (GFVs) that are constructed for separate tasks, including image reconstruction and fingerprint-based image discrimination. The computing system described in this patent includes machine-learning-based components that extract GFVs from images and perform signal processing for both transmission and reception. The system is designed to generate reconstructed images and discriminate between fingerprints, utilizing a set of training images for joint training of the components.

Another notable patent is "Automated video segmentation," which outlines methods and systems for segmenting video frames into contextually-related sub-sequences. This patent describes the construction of a video graph, where each node corresponds to a different frame, and edges connect pairs of nodes based on time and similarity metrics. An artificial neural network (ANN) is trained to predict labels and clusters for the nodes, enhancing the efficiency of video segmentation.

Career Highlights

Amanmeet Garg currently works at Gracenote, Inc., where he continues to push the boundaries of innovation in technology. His work has garnered attention for its practical applications and contributions to the field.

Collaborations

Amanmeet has collaborated with notable coworkers, including Aneesh Vartakavi and Konstantinos Antonio Dimitriou. Their combined expertise fosters a creative environment that drives innovation.

Conclusion

Amanmeet Garg's contributions to technology through his patents and work at Gracenote, Inc. highlight his role as a leading inventor in the field. His innovative approaches to media feature representation and video segmentation are paving the way for future advancements.

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