An attention position detection section detects an attention position of a user to a reproduction image of moving image data. Image-related information indicating a position of a virtual division area in which the reproduction image is virtually divided and an importance level of the virtual division area is associated with the moving image data. A reproduction control section determines the importance level of the virtual division area corresponding to the attention position detected by the attention position detection section and controls a reproduction operation of the moving image data in accordance with the determined importance level. For example, the reproduction control section sets a larger number of images to be thinned in the reproduction operation as the importance level becomes lower so as to make the reproduction speed faster. The user can control the reproduction operation only by moving the attention position and easily perform the appropriate reproduction operation.

In various embodiments, an iterative encoding application encodes a source video sequence. The encoding optimization application generates a set of shot encode points based on a set of encoding points and a first shot sequence included in the source video sequence. Each shot encode point is associated with a different encoded shot sequence. The encoding optimization application performs convex hull operation(s) across the set of shot encode points to generate a first convex hull associated with the first shot sequence. Subsequently, the encoding optimization application generates encoded video sequences based on the first convex hull and a second convex hull associated with a second shot sequence included in the source video sequence. The encoding optimization application computes a new encoding point based on the encoded video sequences and a target value for a first video metric and then generates an optimized encoded video sequence based on the new encoding point.

Disclosed are an Ethereum state data storage optimization method, an Ethereum state data storage optimization system, and an Ethereum system. The method includes: using an MPT tree structure to store Ethereum state data; and compressing a height of an MPT tree, so as to reduce the number of times of disk io. By increasing capacity of a branch node, optimization in a horizontal direction can be performed to the MPT tree of Ethereum state data; by compressing the height of the MPT tree of the Ethereum state data on a single prefix path, optimization in a vertical direction can be performed to the MPT tree of the Ethereum state data; and by selecting and arranging different key lengths according to a data type, layers of the MPT tree can be effectively reduced, so that the purpose of reducing the number of times of disk io can be achieved.

The present disclosure describes aspects of codeword interleaving for magnetic storage media. In some aspects, segments of a codeword are spread or interleaved across multiple sectors of magnetic storage media. Data for one or more codewords may be received by a read channel and, for each codeword, a respective indicator is selected or received. The indicator may indicate which partitions of the multiple sectors that segments of one of the codewords are to be written. The data is then encoded to provide the codewords and segments of the codewords are placed in an interleaver based on the respective indicator corresponding to the codeword. The codeword segments are written from the interleaver to partitions of the multiple sectors of the magnetic storage media. By so doing, codewords may be spread across multiple sectors, such that a loss of a few sectors does not prevent readback and decoding of the codewords.

An image processing device includes a multimedia intellectual property (IP) block which processes image data including a first component and a second component; a memory; and a frame buffer compressor (FBC) which compresses the image data to generate compressed data and stores the compressed data in the memory. The frame buffer compressor includes a logic circuit which controls a compression sequence of the first component and the second component of the image data.

In various embodiments, an encoding optimization application positions key frames within encoded video sequences based on shot changes. The encoding optimization application determines key frame location(s) based on shot change(s) included in a source video sequence associated with a media title. Each key frame location is associated with a different frame included in the source video sequence. For each of the key frame location(s), the encoding optimization application configures an encoding application to encode a frame of video content located at the key frame location as a key frame when performing encoding operations. Subsequently, the encoding optimization application causes the encoding application to perform encoding operation(s) on the source video sequence to generate a first encoded video sequence. During playback, the media title is switchable between a decoded version of the first encoded video sequence and a decoded version of a second encoded video sequence at the key frame location(s).

Provided are a video recording method and apparatus. The video recording method includes: in response to detecting a resume recording instruction, determining duration of a video coded by a video coder, and setting playback progress of an audio player to the duration, where the resume recording instruction is used for instructing to continue collecting video data and continue playing target audio data by using the audio player; starting the audio player, where the video coder is started before the audio player; in the case of playing the target audio data to the playback progress, in response to collecting the video data, transmitting the collected video data to the video coder so that the video coder codes the collected video data.

A device for recording videos includes an image signal processor to process frames captured in response to a request for recording a video at a first frame rate, and a video encoder to encode captured frames. The device also includes processing circuitry operative to allocate image buffers from memory in response to the request, and execute a camera software to direct the image signal processor to fill each image buffer with a batch of the captured frames. For each filled image buffer, a reference of the image buffer is passed from the camera software to a video software at a second rate, which is a fraction of the first frame rate. The processing circuitry then executes the video software to provide one frame at a time to the video encoder for encoding at the first frame rate.

A computer-implemented method, a computer program product, and a computer system for reordering a sequence of files based on compression rates in data transfer. A host determines predicted compression rates of first files that are to be saved onto a first tape, based on a relationship between compression rates and file attributes of second files that have been saved on a second tape. The host reorders a sequence of the first files stored in host cache storage and generates a new sequence of transferring the first files from the host cache storage to the tape drive hosting the first tape, based on the predicted compression rates of the first files. The host transfers the first files to the tape drive hosting the first tape and writes the first files to the first tape, according to the new sequence.

An image capture device for recording HDR (high dynamic range) image data obtained through image capture performs control so as to, when encoding HDR image data obtained by capturing an image with an image sensor, divide part of the HDR image data corresponding to a coding area to be encoded into a plurality of divided HDR image data, encode each of the plurality of divided HDR image data by using encoding means, and record the plurality of divided HDR image data that are encoded on a recording medium in a predetermined recording format.