Patents by Inventor Valery G. Valentin
Valery G. Valentin has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11202098Abstract: A system comprises an encoder configured to compress attribute and/or spatial information for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. In some embodiments, an encoder performs downscaling of an image frame prior to video encoding and a decoder performs upscaling of an image frame subsequent to video decoding.Type: GrantFiled: July 5, 2019Date of Patent: December 14, 2021Assignee: Apple Inc.Inventors: Khaled Mammou, Yeping Su, Jungsun Kim, Valery G. Valentin, David W. Singer, Fabrice A. Robinet, Hsi-Jung Wu, Alexandros Tourapis
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Patent number: 11132818Abstract: Attributes for point cloud compression may be predicted according to a space filling curve. An order for selecting points of a point cloud to be compressed in order to predict attributes of the points may be determined according to values of a space filling curve applied to spatial information for the points. A point of the point cloud may be selected according to the determined ordering. A prediction technique may be performed with respect to the selected point based on a set of neighboring points in the point cloud also selected according to the ordering. Predicted attribute values and correction values may be determined for the predicted values. The correction values may be encoded as part of a compressed version of the point cloud.Type: GrantFiled: September 27, 2019Date of Patent: September 28, 2021Assignee: Apple Inc.Inventors: Khaled Mammou, Alexandros Tourapis, Jungsun Kim, Valery G. Valentin, Fabrice A. Robinet, Yeping Su
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Publication number: 20210264640Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute for the point cloud. To compress the attribute information, attribute values are predicted using one of a plurality of prediction strategies, wherein a selected prediction strategy is selected based at least in part on attribute variability of points in a neighborhood of points. A decoder follows a similar prediction process. Also, attribute correction values may be determined to correct predicted attribute values and may be used by a decoder to decompress a point cloud, wherein the decoder applies the same prediction strategy applied at the encoder.Type: ApplicationFiled: May 12, 2021Publication date: August 26, 2021Applicant: Apple Inc.Inventors: Khaled Mammou, Jungsun Kim, Valery G. Valentin, Fabrice A. Robinet, Yeping Su, Alexandros Tourapis
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Publication number: 20210256735Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. A processing/filtering element utilizes occupancy map information and/or auxiliary patch information to determine relationships between patches in image frames and adjusts encoding/decoding and/or filtering or pre/post-processing parameters based on the determined relationships.Type: ApplicationFiled: May 3, 2021Publication date: August 19, 2021Applicant: Apple Inc.Inventors: Alexandros Tourapis, Khaled Mammou, Yeping Su, Jungsun Kim, Valery G. Valentin, David W. Singer, Fabrice A. Robinet, Hsi-Jung Wu
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Publication number: 20210258617Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute information for the point cloud. To compress the attribute information, multiple levels of detail are generated based on an ordering of the points according to a space filling curve and attribute values are predicted. The attribute values may be predicted simultaneously while points are being assigned to different levels of detail. A decoder follows a similar prediction process based on level of details. Also, attribute correction values may be determined to correct predicted attribute values and may be used by a decoder to decompress a point cloud compressed using level of detail attribute compression. In some embodiments, attribute correction values may take into account an influence factor of respective points in a given level of detail on attributes in other levels of detail.Type: ApplicationFiled: January 29, 2021Publication date: August 19, 2021Applicant: Apple Inc.Inventors: Alexandros Tourapis, Jungsun Kim, Valery G. Valentin, Fabrice A. Robinet, Yeping Su, Khaled Mammou
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Patent number: 11044478Abstract: A system comprises an encoder configured to compress images, such as image frames comprising attribute information and/or spatial for a point cloud and/or an occupancy map for the point cloud. Also, a system includes a decoder configured to decompress compressed image frames, such as image frames comprising compressed attribute and/or spatial information for the point cloud or an occupancy map for the point cloud. Additionally, the encoder may map N-bit data to M-bit code words, where M is less than N. Alternatively the encoder may map N-bit data to M-bit code words, where M is greater than N. In a similar manner, a decoder may map the M-bit code words back to the N-bit data.Type: GrantFiled: July 1, 2019Date of Patent: June 22, 2021Assignee: Apple Inc.Inventors: Alexandros Tourapis, Jungsun Kim, Fabrice A. Robinet, Khaled Mammou, Valery G. Valentin, Yeping Su
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Publication number: 20210183112Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute for the point cloud. To compress the attribute information, multiple levels of detail are generated based on spatial information. Also, attribute values are predicted based on the level of details. A decoder follows a similar prediction process based on level of details. Also, attribute correction values may be determined to correct predicted attribute values and may be used by a decoder to decompress a point cloud compressed using level of detail attribute compression. In some embodiments, an update operation is performed to smooth attribute correction values taking into account an influence factor of respective points in a given level of detail on attributes in other levels of detail.Type: ApplicationFiled: January 29, 2021Publication date: June 17, 2021Applicant: Apple Inc.Inventors: Khaled Mammou, Alexandros Tourapis, Jungsun Kim, Fabrice A. Robinet, Valery G. Valentin, Yeping Su
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Publication number: 20210185331Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. The encoder generates an occupancy map and may also encode the occupancy map as an image based representation. In some embodiments, a video encoder encodes image based representations of spatial information for the points of the point cloud, image based representations of attribute values for points of the point cloud, and an image based representation of an occupancy map for the spatial and attribute images.Type: ApplicationFiled: February 26, 2021Publication date: June 17, 2021Applicant: Apple Inc.Inventors: Khaled Mammou, Valery G. Valentin, Fabrice A. Robinet, Alexandros Tourapis, Yeping Su, Jungsun Kim
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Patent number: 11017566Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. A processing/filtering element utilizes occupancy map information and/or auxiliary patch information to determine relationships between patches in image frames and adjusts encoding/decoding and/or filtering or pre/post-processing parameters based on the determined relationships.Type: GrantFiled: July 1, 2019Date of Patent: May 25, 2021Assignee: Apple Inc.Inventors: Alexandros Tourapis, Khaled Mammou, Yeping Su, Jungsun Kim, Valery G. Valentin, David W. Singer, Fabrice A. Robinet, Hsi-Jung Wu
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Publication number: 20210150766Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. In some embodiments, an encoder may be configured to further compress points omitted from the image based representation. Also, in some embodiments, a decoder may be configured to decode points compressed outside of an image based representation or in a separate image based representation.Type: ApplicationFiled: January 29, 2021Publication date: May 20, 2021Applicant: Apple Inc.Inventors: Khaled Mammou, Valery G. Valentin, Fabrice A. Robinet, Alexandros Tourapis, Yeping Su, Jungsun Kim
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Patent number: 11010928Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute for the point cloud. To compress the attribute information, attribute values are predicted using one of a plurality of prediction strategies, wherein a selected prediction strategy is selected based at least in part on attribute variability of points in a neighborhood of points. A decoder follows a similar prediction process. Also, attribute correction values may be determined to correct predicted attribute values and may be used by a decoder to decompress a point cloud, wherein the decoder applies the same prediction strategy applied at the encoder.Type: GrantFiled: April 10, 2019Date of Patent: May 18, 2021Assignee: Apple Inc.Inventors: Khaled Mammou, Jungsun Kim, Valery G. Valentin, Fabrice A. Robinet, Yeping Su, Alexandros Tourapis
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Publication number: 20210097726Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. A point cloud attribute transfer algorithm may be used to determine distortion between an original point cloud and a reconstructed point cloud. Additionally, the point cloud attribute transfer algorithm may be used to select attribute values for a reconstructed point cloud such that distortion between an original point cloud and a reconstructed version of the original point cloud is minimized.Type: ApplicationFiled: December 11, 2020Publication date: April 1, 2021Applicant: Apple Inc.Inventors: Khaled Mammou, Yeping Su, Alexandros Tourapis, Jungsun Kim, Valery G. Valentin, Fabrice A. Robinet
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Publication number: 20210097722Abstract: Attributes for point cloud compression may be predicted according to a space filling curve. An order for selecting points of a point cloud to be compressed in order to predict attributes of the points may be determined according to values of a space filling curve applied to spatial information for the points. A point of the point cloud may be selected according to the determined ordering. A prediction technique may be performed with respect to the selected point based on a set of neighboring points in the point cloud also selected according to the ordering. Predicted attribute values and correction values may be determined for the predicted values. The correction values may be encoded as part of a compressed version of the point cloud.Type: ApplicationFiled: September 27, 2019Publication date: April 1, 2021Applicant: Apple Inc.Inventors: Khaled Mammou, Alexandros Tourapis, Jungsun Kim, Valery G. Valentin, Fabrice A. Robinet, Yeping Su
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Publication number: 20210082152Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute information. Attribute values for at least one starting point are included in a compressed attribute information file and attribute correction values are included in the compressed attribute information file. Attribute values are predicted based, at least in part, on attribute values of neighboring points. The predicted attribute values are compared to attribute values of a point cloud prior to compression to determine attribute correction values. In order to improve computing efficiency and/or repeatability, fixed-point number representations are used when determining predicted attribute values and attribute correction values. A decoder follows a similar prediction process as an encoder and corrects predicted values using attribute correction values included in a compressed attribute information file using fixed-point number representations.Type: ApplicationFiled: November 25, 2020Publication date: March 18, 2021Applicant: Apple Inc.Inventors: Alexandros Tourapis, Valery G. Valentin, Fabrice A. Robinet, Khaled Mammou, Jungsun Kim, Yeping Su
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Patent number: 10939129Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. The encoder generates an occupancy map and may also encode the occupancy map as an image based representation. In some embodiments, a video encoder encodes image based representations of spatial information for the points of the point cloud, image based representations of attribute values for points of the point cloud, and an image based representation of an occupancy map for the spatial and attribute images.Type: GrantFiled: April 10, 2019Date of Patent: March 2, 2021Assignee: Apple Inc.Inventors: Khaled Mammou, Valery G. Valentin, Fabrice A. Robinet, Alexandros Tourapis, Yeping Su, Jungsun Kim
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Patent number: 10911787Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute information for the point cloud. To compress the attribute information, multiple levels of detail are generated based on an ordering of the points according to a space filling curve and attribute values are predicted. The attribute values may be predicted simultaneously while points are being assigned to different levels of detail. A decoder follows a similar prediction process based on level of details. Also, attribute correction values may be determined to correct predicted attribute values and may be used by a decoder to decompress a point cloud compressed using level of detail attribute compression. In some embodiments, attribute correction values may take into account an influence factor of respective points in a given level of detail on attributes in other levels of detail.Type: GrantFiled: July 10, 2019Date of Patent: February 2, 2021Assignee: Apple Inc.Inventors: Alexandros Tourapis, Jungsun Kim, Valery G. Valentin, Fabrice A. Robinet, Yeping Su, Khaled Mammou
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Patent number: 10909727Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute for the point cloud. To compress the attribute information, multiple levels of detail are generated based on spatial information. Also, attribute values are predicted based on the level of details. A decoder follows a similar prediction process based on level of details. Also, attribute correction values may be determined to correct predicted attribute values and may be used by a decoder to decompress a point cloud compressed using level of detail attribute compression. In some embodiments, an update operation is performed to smooth attribute correction values taking into account an influence factor of respective points in a given level of detail on attributes in other levels of detail.Type: GrantFiled: April 10, 2019Date of Patent: February 2, 2021Assignee: Apple Inc.Inventors: Khaled Mammou, Alexandros Tourapis, Jungsun Kim, Fabrice A. Robinet, Valery G. Valentin, Yeping Su
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Patent number: 10909726Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. In some embodiments, an encoder may be configured to further compress points omitted from the image based representation. Also, in some embodiments, a decoder may be configured to decode points compressed outside of an image based representation or in a separate image based representation.Type: GrantFiled: April 10, 2019Date of Patent: February 2, 2021Assignee: Apple Inc.Inventors: Khaled Mammou, Valery G. Valentin, Fabrice A. Robinet, Alexandros Tourapis, Yeping Su, Jungsun Kim
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Publication number: 20210029383Abstract: An encoder is configured to compress point cloud geometry information using an octree geometric compression technique that utilizes a binary arithmetic encoder, a look-ahead table, a cache, and a context selection process, wherein encoding contexts are selected based, at least in part, on neighborhood configurations. In a similar manner, a decoder is configured to decode compressed point cloud geometry information utilizing a binary arithmetic encoder, a look-ahead table, a cache, and a context selection process.Type: ApplicationFiled: October 9, 2020Publication date: January 28, 2021Applicant: Apple Inc.Inventors: Alexandros Tourapis, Jungsun Kim, Valery G. Valentin, Fabrice A. Robinet, Yeping Su, Khaled Mammou
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Patent number: 10867414Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. A point cloud attribute transfer algorithm may be used to determine distortion between an original point cloud and a reconstructed point cloud. Additionally, the point cloud attribute transfer algorithm may be used to select attribute values for a reconstructed point cloud such that distortion between an original point cloud and a reconstructed version of the original point cloud is minimized.Type: GrantFiled: April 10, 2019Date of Patent: December 15, 2020Assignee: Apple Inc.Inventors: Khaled Mammou, Yeping Su, Alexandros Tourapis, Jungsun Kim, Valery G. Valentin, Fabrice A. Robinet