SYSTEM AND METHOD FOR OPTIMIZED VIDEO ENCODING

    公开(公告)号:US20200186810A1

    公开(公告)日:2020-06-11

    申请号:US16693652

    申请日:2019-11-25

    Abstract: There are provided computerized systems and methods of optimized video encoding. The method includes encoding a current video frame by performing an optimized quantization of transform coefficients using a modified rate-distortion cost function. The modified rate-distortion cost function can be obtained by configuring a reconstruction error in a rate-distortion cost function in accordance with a relation associated with the encoding block and the processed encoding block. In such ways, a reconstructed video frame corresponding to the current video frame has optimized perceived visual quality as compared to perceived visual quality of a reconstructed video frame of a corresponding frame bitstream which is generated without using the optimized quantization.

    METHOD OF CLASSIFICATION OF AN OBJECT AND SYSTEM THEREOF

    公开(公告)号:US20190236415A1

    公开(公告)日:2019-08-01

    申请号:US16238836

    申请日:2019-01-03

    CPC classification number: G06K9/6282 G06F16/9027 G06K9/6292 G06N20/20

    Abstract: There are provided a system and method of classification of an object represented by input data comprising a plurality of components. The method includes obtaining a restructured tree corresponding to a decision tree, providing appropriate components selected from the plurality of components to corresponding duplicated non-leaf nodes of each given layer to be used in duplicated condition associated thereof; for each given layer of the restructured tree that comprises duplicated non-leaf nodes, generating a per layer output by applying the duplicated condition associated with each duplicated non-leaf node on corresponding appropriate component, and applying an inversion mask to the per layer output to obtain a corrected per layer output, giving rise to a plurality of corrected per layer outputs, and combining the plurality of corrected per layer outputs giving rise to the classification of the object.

    SYSTEM AND METHOD OF EFFICIENT OBJECT DETECTION IN IMAGE OR VIDEO

    公开(公告)号:US20230237688A1

    公开(公告)日:2023-07-27

    申请号:US17933718

    申请日:2022-09-20

    CPC classification number: G06T7/70 G06T2207/30201 G06T2207/10016

    Abstract: There are provided computerized systems and methods for detection of objects in a one or more images or video frames, which require reduced power or computational cost compared to existing methods. The proposed approach uses a set of per frame detection anchors which are split into a primary sub-set and one or more secondary sub-sets. For each key frame a full detection process for each of the detection anchors in primary subset is performed, determining for each detection anchor whether it corresponds to a detected object, and updating a detected object data structure accordingly. For each non ‘key-frame’, a history based fast detection process for each of the detection anchors in the primary subset is performed, where it is first determined whether a criterion for temporal based early exit is met and whether the detection anchor corresponds to a detected object and updating the detected object data structure according to detection results. Then for each of the detection anchors in each of one or more secondary subsets, it is first determined whether a criterion for spatial early exit is met and whether the detection anchor corresponds to a detected object, and updating the data structure according to detection results.

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