H.265高效视频编码标准:视频编码的下一代

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"高效视频编码标准:HEVC(H.265)" 高效视频编码(HEVC)是继H.264/AVC视频编码标准之后的下一代视频编码标准。HEVC的目标是实现50%的比特率减少同时保持相同的视频质量。为了达到这个目标,研究人员已经进行了多年的研究和开发,旨在找到新的或改进的技术来实现这个目标。 HEVC的发展可以追溯到2002年,当时ITU-T视频编码专家组(VCEG)启动了下一代视频编码(NGVC)项目。该项目的目标是实现50%的比特率减少同时保持相同的视频质量。在过去的几年中,研究人员已经进行了大量的研究和开发,旨在找到新的或改进的技术来实现这个目标。 2010年1月,ISO/IEC运动图片专家组(MPEG)和VCEG共同发布了“高效视频编码(HEVC)”的征求建议书。随后,在4月的VCEG/MPEG会议上,有27个提案被评估,结果看起来非常promising。因此,在不久的将来,可能会定义一个新的视频编码标准。 HEVC的优点包括高压缩比、低比特率、Real-time编码和解码等。HEVC的应用前景非常广阔,包括电视广播、电影、视频会议、视频监控、数字电影等。HEVC的发展将对视频行业产生深远的影响。 HEVC与H.264/AVC的比较: HEVC相比H.264/AVC,具有更高的压缩比和更低的比特率。HEVC的压缩比可以高达50%,而H.264/AVC的压缩比约为30%。此外,HEVC还具有更好的视频质量和更低的计算复杂度。 HEVC的技术特点: HEVC的技术特点包括: * 高效的编码技术:HEVC使用了多种高效的编码技术,包括intra prediction、inter prediction、transform coding等。 * 高效的压缩算法:HEVC使用了高效的压缩算法,包括DCT、DST、KLT等。 * 高效的 entropy coding:HEVC使用了高效的熵编码技术,包括CABAC、VLC等。 HEVC的应用前景: HEVC的应用前景非常广阔,包括: * 电视广播:HEVC可以应用于电视广播,提高电视广播的视频质量和效率。 * 电影:HEVC可以应用于电影,提高电影的视频质量和效率。 * 视频会议:HEVC可以应用于视频会议,提高视频会议的视频质量和效率。 * 视频监控:HEVC可以应用于视频监控,提高视频监控的视频质量和效率。 * 数字电影:HEVC可以应用于数字电影,提高数字电影的视频质量和效率。 HEVC是继H.264/AVC之后的下一代视频编码标准,具有高效的压缩比、低比特率、Real-time编码和解码等优点。HEVC的应用前景非常广阔,包括电视广播、电影、视频会议、视频监控、数字电影等。

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2023-05-29 上传

Create a function pixel_flip(lst, orig_lst, budget, results, i=0) that uses recursion to generate all possible new unique images from the input orig_lst, following these rules: • The input lst is the current list being processed. Initially, this will be the same as orig_lst which is the original flattened image. • The input budget represents the number of pixels that can still be flipped. When the budget reaches 0, no more pixels can be flipped. • The input results is a list of resulting flattened images with flipped pixels. Initially, this will be an empty list. • The input i represents the index of the pixel being processed, by default set to 0, which is used to drive the recursive function towards its base case (i.e., initially starting from i=0). At termination of the function, the argument results should contain all possibilities of the input orig_lst by only flipping pixels from 0 to 1 under both the budget and the adjacency constraints. fill code at #TODO def pixel_flip(lst: list[int], orig_lst: list[int], budget: int, results: list, i: int = 0) -> None: """ Uses recursion to generate all possibilities of flipped arrays where a pixel was a 0 and there was an adjacent pixel with the value of 1. :param lst: 1D list of integers representing a flattened image . :param orig_lst: 1D list of integers representing the original flattened image. :param budget: Integer representing the number of pixels that can be flipped . :param results: List of 1D lists of integers representing all possibilities of flipped arrays, initially empty. :param i: Integer representing the index of the pixel in question. :return: None. """ #TODO

2023-05-25 上传