Abstract: Provided are a method and apparatus for allocating differential bandwidth for each screen region by using image complexity information. According to an embodiment, a method and apparatus for receiving streaming data request a server for information relating to content to differentially determine quality of a plurality of regions divided from a predetermined frame of the content according to a network state; among at least one segment for each region encoded with at least one quality for each of the plurality of regions, receive a segment for each region encoded according to the quality for each region determined based on the information relating to the content from the server over a network; generate a reconstruction image for each region by decoding the segment for each region; and merge and render the reconstruction image for each region.

Abstract: Provided is a method of multiple connection providing a service by a client, the method including: executing at least one application for providing a service; referring to a multiple connection history including information about the number of multiple connections and a size of a sub-segment; determining the number of multiple connections and the size of the sub-segment based on the referred-to multiple connection history; and requesting the multiple connections according to the determined number of multiple connections and the determined size of the sub-segment.

Abstract: A decoding apparatus is provided. The decoding apparatus includes a communication unit for receiving multiple encoding data respectively corresponding to multiple areas constituting one image, and reference data including attribute information of each of the multiple areas, and a processor for generating multiple divided images by decoding the multiple encoding data respectively, changing the resolutions of some divided images among the multiple divided images on the basis of the received attribute information, and generating a reconstructed image by merging the some divided images having the changed resolutions and the remaining divided images.

Abstract: The present disclosure relates to a technology for a sensor network, machine to machine (M2M) communication, machine-type communication (MTC), and the Internet of things (IoT). The present disclosure can be used in intelligent services (such as smart home, smart building, smart city, smart car or connected car, healthcare, digital education, retail business, security, and safety related services) on the basis of the technology. A method for providing data in a multimedia system, presented in one embodiment of the present disclosure, comprises the steps of: receiving a message for requesting information on a segment, detecting image quality, the number of sub-segments, and a reception rate, which are included in the information on the segment; determining a transmission rate on the basis of the detected image quality, number of sub-segments, and reception rate; and providing the information on the segment at the determined transmission rate.

Abstract: Provided is a method of multiple connection providing a service by a client, the method including: executing at least one application for providing a service; referring to a multiple connection history including information about the number of multiple connections and a size of a sub-segment; determining the number of multiple connections and the size of the sub-segment based on the referred-to multiple connection history; and requesting the multiple connections according to the determined number of multiple connections and the determined size of the sub-segment.

Abstract: Disclosed is a method, performed by a client, of scheduling reception of media contents, the method including determining a plurality of network connections enabling the reception of the media contents between the client and a server, predicting a buffering timing at which segments of the media contents received in a unit of a buffer size of the client are received through some of the determined plurality of network connections, generating scheduling information for allocating the segments of the media contents to be allocated to the some network connections to each of the plurality of network connections at the predicted buffering timing, and transmitting the generated scheduling information to the server.

Abstract: Provided is a method of multiple connection providing a service by a client, the method including: executing at least one application for providing a service; referring to a multiple connection history including information about the number of multiple connections and a size of a sub-segment; determining the number of multiple connections and the size of the sub-segment based on the referred-to multiple connection history; and requesting the multiple connections according to the determined number of multiple connections and the determined size of the sub-segment.

Abstract: Provided are a method and apparatus for allocating differential bandwidth for each screen region by using image complexity information. According to an embodiment, a method and apparatus for receiving streaming data request a server for information relating to content to differentially determine quality of a plurality of regions divided from a predetermined frame of the content according to a network state; among at least one segment for each region encoded with at least one quality for each of the plurality of regions, receive a segment for each region encoded according to the quality for each region determined based on the information relating to the content from the server over a network; generate a reconstruction image for each region by decoding the segment for each region; and merge and render the reconstruction image for each region.

Abstract: A decoding apparatus is provided. The decoding apparatus includes a communication unit for receiving multiple encoding data respectively corresponding to multiple areas constituting one image, and reference data including attribute information of each of the multiple areas, and a processor for generating multiple divided images by decoding the multiple encoding data respectively, changing the resolutions of some divided images among the multiple divided images on the basis of the received attribute information, and generating a reconstructed image by merging the some divided images having the changed resolutions and the remaining divided images.

Abstract: The present disclosure relates to a technology for a sensor network, machine to machine (M2M) communication, machine-type communication (MTC), and the Internet of things (IoT). The present disclosure can be used in intelligent services (such as smart home, smart building, smart city, smart car or connected car, healthcare, digital education, retail business, security, and safety related services) on the basis of the technology. A method for providing data in a multimedia system, presented in one embodiment of the present disclosure, comprises the steps of: receiving a message for requesting information on a segment, detecting image quality, the number of sub-segments, and a reception rate, which are included in the information on the segment; determining a transmission rate on the basis of the detected image quality, number of sub-segments, and reception rate; and providing the information on the segment at the determined transmission rate.

Abstract: Provided is a method of multiple connection providing a service by a client, the method including: executing at least one application for providing a service; referring to a multiple connection history including information about the number of multiple connections and a size of a sub-segment; determining the number of multiple connections and the size of the sub-segment based on the referred-to multiple connection history; and requesting the multiple connections according to the determined number of multiple connections and the determined size of the sub-segment.

Abstract: Disclosed is a method, performed by a client, of scheduling reception of media contents, the method including determining a plurality of network connections enabling the reception of the media contents between the client and a server, predicting a buffering timing at which segments of the media contents received in a unit of a buffer size of the client are received through some of the determined plurality of network connections, generating scheduling information for allocating the segments of the media contents to be allocated to the some network connections to each of the plurality of network connections at the predicted buffering timing, and transmitting the generated scheduling information to the server.

Abstract: Disclosed is a new method of searching for an image at a high speed based on only coding unit depth information of high efficiency video coding (HEVC), which is a next-generation image coding codec. Unlike an existing method of dividing a frame into 16 sub-images and sub-dividing the sub-images into fixed image-blocks to perform calculation, the method of searching for an image according to the present invention uses a block having a 64×64 size, which is the largest coding unit (LCU) used in the HEVC coding codec itself, as it is. Furthermore, the method of searching for an image according to the present invention performs an image search based on information on a depth to which the LCU is divided, unlike an existing method of classifying image-block units into five kinds of edges to calculate a histogram and using the histogram as a basis for an image search.

Abstract: A fat composition of high purity diglyceride containing conjugated linoleic acid and a preparation method thereof are provided. The fat composition comprises 85% to 99.9% by weight of diglyceride containing 0.1 to 80% by weight of conjugated linoleic acid, and the balance being monoglyceride, triglyceride or a mixture thereof. The fat composition can be used in highly functional food additives owing to conjugated linoleic acid having various functions of effecting anti-cancer activity, reducing human body fat, enhancing immunogenicity, and preventing and/or treating diabetes, and can be simply prepared at a high production yield.