Abstract: A system for detecting streaming of advertisements that occur while streaming a media program is provided. The system includes a broadcast content receiving module, a feature extracting module, an advertisement detecting module, a weight computing module, and a neighborhood context identifying module. The broadcast content receiving module receives a broadcast content from a content source. The feature extracting module extracts video features, audio features, and metadata features associated with broadcast chunks of the broadcast content for time segments. The advertisement detecting module analyzes the video features, the audio features, and the metadata features for the time segments. The weight computing module computes final weight for validating start and end of first advertisement slot based on the weight. The neighborhood context identifying module validates a start time of a first advertisement slot based on a content type of a first broadcast chunk and a second broadcast chunk.

Abstract: Methods and apparatuses for compressing digital image data are described herein. In one embodiment, a wavelet transform is performed on each pixel of a frame to generate multiple wavelet coefficients representing each pixel in a frequency domain. The wavelet coefficients of a sub-band of the frame are iteratively encoded into a bit stream based on a target transmission rate, where the sub-band of the frame is obtained from a parent sub-band of a previous iteration. The encoded wavelet coefficients satisfy a predetermined threshold based on a predetermined algorithm while the wavelet coefficients that do not satisfy the predetermined threshold are ignored in the respective iteration. Other methods and apparatuses are also described.

Abstract: Methods and apparatuses for compressing digital image data are described herein. In one embodiment, a wavelet transform is performed on each pixel of a frame to generate multiple wavelet coefficients representing each pixel in a frequency domain. The wavelet coefficients of a sub-band of the frame are iteratively encoded into a bit stream based on a target transmission rate, where the sub-band of the frame is obtained from a parent sub-band of a previous iteration. The encoded wavelet coefficients satisfy a predetermined threshold based on a predetermined algorithm while the wavelet coefficients that do not satisfy the predetermined threshold are ignored in the respective iteration. Other methods and apparatuses are also described.

Abstract: Methods and apparatuses for compressing digital image data with motion prediction are described herein. In one embodiment, for each two consecutive frames of an image sequence, a motion prediction is performed between the consecutive frames by tracking motion on a luminance map of the frames to generate motion prediction information for the luminance component. The motion prediction information of the luminance component is then applied to the chrominance maps. In response to the motion prediction, the wavelet coefficients of each frame and the motion prediction information are encoded into a bit stream based on a target transmission rate, where the encoded wavelet coefficients satisfy a predetermined threshold according to a predetermined algorithm. Other methods and apparatuses are also described.

Abstract: Methods and apparatuses for compressing digital image data are described herein. In one embodiment, a wavelet transform is performed on each pixel of a frame to generate multiple wavelet coefficients representing each pixel in a frequency domain. The wavelet coefficients of a sub-band of the frame are iteratively encoded into a bit stream based on a target transmission rate, where the sub-band of the frame is obtained from a parent sub-band of a previous iteration. The encoded wavelet coefficients satisfy a predetermined threshold based on a predetermined algorithm while the wavelet coefficients that do not satisfy the predetermined threshold are ignored in the respective iteration. Other methods and apparatuses are also described.