Intel Corporation

Texas Instruments Corporation

Girish Srinivasa Murthy

Soyeb Noormohammed Nagori

Vallabhajosyula S Somayazulu

Omesh Tickoo

Naveen Srinivasamurthy

Srenivas Varadarajan

Satish Kumar

Anand V Bodas

Methods, apparatus, systems and articles of manufacture to improve efficiency of object tracking in video frames are disclosed. An example apparatus includes a clusterer to cluster a map of a video frame into blobs; a comparator to determine an intersection over union value between the blobs and bounding boxes in a second video frame; and an interface to initiate object detection by a neural network on the first video frame when the intersection over union does not satisfy a threshold.

Methods and apparatus to improve efficiency of object tracking in video frames

A method for encoding a picture in a video sequence is provided that includes determining the current encoded size of the picture after coding a plurality of macroblocks in the picture, determining that encoding remaining macroblocks in the picture may cause the encoded size of the picture to exceed a maximum encoded picture size, computing a quantization scale responsive to the determining, wherein the quantization scale is computed such that the estimated encoded size of the remaining macroblocks if the remaining macroblocks are quantized with the quantization scale does not exceed the difference between the maximum encoded picture size and the current encoded picture size, and quantizing at least one of the remaining macroblocks with the new quantization scale.

Limiting the maximum size of an encoded video picture using sub-picture based rate control

Growing community of inventors

Bengaluru, India

Girish Srinivasa Murthy