Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Techniques are described for performing near visually lossless video recompression. The disclosed techniques generate video frames having relatively small bitrates and relatively small file sizes while retaining approximately a same level of visually perceivable video quality as the originally recorded video frames. In general, recompression of a video frame takes an input video frame and produces a second copy of the video frame that has the same or lower Nitrate. The proposed techniques address the problem of recompressing a video frame with no perceivable loss in visual quality (i.e., visually lossless recompression) compared to the original recording of the video frame. In addition, the disclosed techniques provide one-step recompression of video frames that includes a single decoding and encoding of each video frame.

Abstract: 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.

Abstract: Described herein are methods, systems, and apparatus to process video images to remove jitteriness due to hand shake. In one aspect, a camera is configured to capture raw video composed of a series of successive image frames of a scene of interest. A processor is configured to receive the image frames, estimate a global camera motion from successive frames, stabilize the camera motion by establishing an upper bound and a lower bound of the global camera motion and smoothing the curve of camera motion between the upper and lower bounds, and upsample the resulting stabilized video frames to produce a smooth video.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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 (?). The value of ? is generally proportional to the number of bits used in the video encoding. This disclosure utilizes a relationship between ? 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 ? to a QP.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Embodiments of the present invention comprise a method for transmitting map data, a method for displaying map data, a system for processing and displaying map data, and a method for rendering line segments on a pixel display. A preferred method for transmitting map data comprises receiving, layering, and simplifying map data and transmitting some of the simplified data. A preferred method for displaying map data comprises receiving compressed map data, decompressing the received data, and rendering the decompressed data on a display device. A preferred system for processing and displaying map data comprises a map database, a map generation sub-system, a map rendering sub-system, and a display device. A preferred method for rendering line segments on a pixel display comprises, for a line segment from a first endpoint to a second endpoint, rounding off the slope of the line segment and calculating pixel locations based on that rounded off slope.

Abstract: 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 (?). The value of ? is generally proportional to the number of bits used in the video encoding. This disclosure utilizes a relationship between ? 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 ? to a QP.