Qualcomm Incorporated

Prasanjit Panda

Hyukjune Chung

Rahul Gopalan

Khaled Helmi El-Maleh

Hsiang-Tsun Li

Mayank Tiwari

Marta Karczewicz

Ying Hai Chen

Xianglin Wang

Ning Bi

In Suk Chong

Yang Yu

Xuerui Zhang

Shashidhar Jangili

This disclosure describes techniques for achieve high coding efficiency by periodically encoding anchor frames with a lower Quantization Parameter (QP) to provide better prediction for the following frames. Techniques include adaptively deciding which frames are encoded with lower QP by use of the collected encoding statistics via an encoding scheme with or without rate control.

Adaptive anchor frame and quantization parameter decision in video coding

Techniques and systems are provided for performing predictive random access using a background picture. For example, a method of decoding video data includes obtaining an encoded video bitstream comprising a plurality of pictures. The plurality of pictures include a plurality of predictive random access pictures. A predictive random access picture is at least partially encoded using inter-prediction based on at least one background picture. The method further includes determining, for a time instance of the video bitstream, a predictive random access picture of the plurality of predictive random access pictures with a time stamp closest in time to the time instance. The method further includes determining a background picture associated with the predictive random access picture, and decoding at least a portion of the predictive random access picture using inter-prediction based on the background picture.

Methods and systems of performing predictive random access using a background picture

Methods, apparatus, and computer readable media may adjust an encoding rate based on network conditions between a transmitter and a receiver. Either the transmitter, receiver, or both the transmitter and receiver may determine the encoding rate. In one aspect, a ratio of received network data to transmitted network data is determined. An encoding parameter is then determined based on the determined ratio. In one aspect, the encoding parameter may be used to adjust an encoder. In another aspect, the determined encoding parameter may be transmitted to an encoding or transmitting node. In another aspect, an amount of data buffered in a network is determined. A sustainable throughput of the network is also determined. A transmission rate is then determined based on the sustainable throughput and the amount of data buffered. An encoding parameter is then adjusted based on the transmission rate.

Device and method for adaptive rate multimedia communications on a wireless network

Methods, apparatus, and computer readable media determine a transmission rate. In some aspects, a method includes determining, via an electronic device, an amount of data buffered in a network, determining a sustainable throughput of the network; and determining a transmission rate based at least in part on the sustainable throughput and the amount of data buffered.

This disclosure describes rate control techniques that can improve video encoding. The described rate control techniques exploit relationships between the number of bits encoded per frame and the number of non-zero coefficients of the video blocks after quantization. The number of number of non-zero coefficients of the video blocks after quantization is referred to as rho (&#x3c1;). The value of &#x3c1; is generally proportional to the number of bits used in the video encoding. This disclosure utilizes a relationship between &#x3c1; and a quantization parameter (QP) in order to achieve rate controlled video encoding. More specifically, this disclosure exploits a parametric equation to map a value of a predicted &#x3c1; to a QP.

Rate control techniques for video encoding using parametric equations

This disclosure describes adaptive filtering techniques to improve the quality of captured imagery, such as video or still images. In particular, this disclosure describes adaptive filtering techniques that filter each pixel as a function of a set of surrounding pixels. An adaptive image filter may compare image information associated with a pixel of interest to image information associated with a set of surrounding pixels by, for example, computing differences between the image formation associated with the pixel of interest and each of the surrounding pixels of the set. The computed differences can be used in a variety of ways to filter image information of the pixel of interest. In some embodiments, for example, the adaptive image filter may include both a low pass component and high pass component that adjust as a function of the computed differences.

Adaptive filtering to enhance video bit-rate control performance

This disclosure describes adaptive filtering techniques to improve the quality of captured imagery, such as video or still images. In particular, this disclosure describes adaptive filtering techniques that filter each pixel as a function of a set of surrounding pixels. An adaptive image filter may compare image information associated with a pixel of interest to image information associated with a set of surrounding pixels by, for example, computing differences between the image information associated with the pixel of interest and each of the surrounding pixels of the set. The computed differences can be used in a variety of ways to filter image information of the pixel of interest. In some embodiments, for example, the adaptive image filter may include both a low pass component and high pass component that adjust as a function of the computed differences.

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San Diego, CA, United States of America

Prasanjit Panda