Abstract: Disclosed are methods, apparatuses, and systems for encoding and decoding an image. The present invention provides an intra prediction unit receives an input image, removes high frequency ingredients by low pass filtering an encoded luma pixel value in the input image during intra prediction, and generates a prediction block by predicting a chroma pixel value by using a low pass filter (LPF) LM chroma mode for applying an LM chroma mode, which is an extended chroma mode technique for generating a prediction block by predicting the chroma pixel value by applying a correlation between color planes to the luma pixel value having removed therefrom the high frequency ingredients.

Abstract: Disclosed are methods, apparatuses, and systems for encoding and decoding an image. The present invention provides an intra prediction unit receives an input image, removes high frequency ingredients by low pass filtering an encoded luma pixel value in the input image during intra prediction, and generates a prediction block by predicting a chroma pixel value by using a low pass filter (LPF) LM chroma mode for applying an LM chroma mode, which is an extended chroma mode technique for generating a prediction block by predicting the chroma pixel value by applying a correlation between color planes to the luma pixel value having removed therefrom the high frequency ingredients.

Abstract: Disclosed are methods, apparatuses, and systems for encoding and decoding an image. The present invention provides an intra prediction unit receives an input image, removes high frequency ingredients by low pass filtering an encoded luma pixel value in the input image during intra prediction, and generates a prediction block by predicting a chroma pixel value by using a low pass filter (LPF) LM chroma mode for applying an LM chroma mode, which is an extended chroma mode technique for generating a prediction block by predicting the chroma pixel value by applying a correlation between color planes to the luma pixel value having removed therefrom the high frequency ingredients.

Abstract: Disclosed are methods, apparatuses, and systems for encoding and decoding an image. The present invention provides an intra prediction unit receives an input image, removes high frequency ingredients by low pass filtering an encoded luma pixel value in the input image during intra prediction, and generates a prediction block by predicting a chroma pixel value by using a low pass filter (LPF) LM chroma mode for applying an LM chroma mode, which is an extended chroma mode technique for generating a prediction block by predicting the chroma pixel value by applying a correlation between color planes to the luma pixel value having removed therefrom the high frequency ingredients.

Abstract: Disclosed are methods, apparatuses, and systems for encoding and decoding an image. The present invention provides an intra prediction unit receives an input image, removes high frequency ingredients by low pass filtering an encoded luma pixel value in the input image during intra prediction, and generates a prediction block by predicting a chroma pixel value by using a low pass filter (LPF) LM chroma mode for applying an LM chroma mode, which is an extended chroma mode technique for generating a prediction block by predicting the chroma pixel value by applying a correlation between color planes to the luma pixel value having removed therefrom the high frequency ingredients.

Abstract: Disclosed are methods, apparatuses, and systems for encoding and decoding an image. The present invention provides an intra prediction unit receives an input image, removes high frequency ingredients by low pass filtering an encoded luma pixel value in the input image during intra prediction, and generates a prediction block by predicting a chroma pixel value by using a low pass filter (LPF) LM chroma mode for applying an LM chroma mode, which is an extended chroma mode technique for generating a prediction block by predicting the chroma pixel value by applying a correlation between color planes to the luma pixel value having removed therefrom the high frequency ingredients.

Abstract: Disclosed are methods, apparatuses, and systems for encoding and decoding an image. The present invention provides an intra prediction unit that receives an input image, calculates a correlation between a Luma area block and Chroma area block in the input image in intra prediction, removes high frequency ingredients by low-pass filtering an encoded luma pixel based on the calculated correlation, and generates a prediction block by applying an LM chroma mode, which is an extended chroma mode technique, to the luma pixel removed therefrom the high frequency ingredients.

Abstract: Disclosed are methods, apparatuses, and systems for encoding and decoding an image. The present invention provides an intra prediction unit that receives an input image, calculates a correlation between a Luma area block and Chroma area block in the input image in intra prediction, removes high frequency ingredients by low-pass filtering an encoded luma pixel based on the calculated correlation, and generates a prediction block by applying an LM chroma mode, which is an extended chroma mode technique, to the luma pixel removed therefrom the high frequency ingredients.

Abstract: Disclosed are methods, apparatuses, and systems for encoding and decoding an image. The present invention provides an intra prediction unit that receives an input image, removes high frequency ingredients by low pass filtering an encoded luma pixel value in the input image during intra prediction, and generates a prediction block by predicting a chroma pixel value by using a low pass filter (LPF) LM chroma mode for applying an LM chroma mode, which is an extended chroma mode technique for generating a prediction block by predicting the chroma pixel value by applying a correlation between color planes to the luma pixel value having removed therefrom the high frequency ingredients.

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: Disclosed are a method and an apparatus for intra prediction mode encoding that may increase compression efficiency of intra prediction mode encoding. The intra prediction mode encoding method may include detecting a similarity of a prediction direction of a neighbor block with respect to a current block based on a position of the neighbor block and an intra prediction direction of the neighbor block with respect to the current block, and determining a candidate prediction mode of the current block based on the similarity and the number of candidate intra prediction modes (N). Accordingly, intra encoding performance of an image may be improved by more accurately and efficiently compressing information about an intra prediction mode of a current block by considering local statistics, which is different from a related art in which only global statistics are considered.

Abstract: Methods and transcoders are disclosed for video transcoding input macroblocks to an output macroblock. One of the methods estimates an output macroblock mode for the video transcoding. A spatial weight is determined based on size of overlapping areas of each of the input macroblocks with a correlation area that is correlated with the output macroblock. A discrete cosine transform (DCT) weight is determined based on a number of zero DCT coefficients of each of the input macroblocks that overlap the correlation area. The output macroblock mode is estimated based on the spatial weight and the DCT weight.

Abstract: A method of estimating output motion vector includes generating a group of candidate motion vectors, selecting two or more reference vectors, variably establishing a search window, and estimating an output motion vector by performing a motion vector refinement on the search window. The method selects the two or more reference vectors from the group of the candidate motion vectors and the search window is established according to a relativity among the reference vectors. A transcoder using the method includes an encoding parameter estimator configured to select the two or more reference vectors and to variably establish the search window according to the relativity between the reference vectors. Therefore, the search window may be efficiently established without increasing calculation time, so that the output motion vector may be more correctly estimated.

Abstract: Methods and transcoders are disclosed for video transcoding input macroblocks to an output macroblock. One of the methods estimates an output macroblock mode for the video transcoding. A spatial weight is determined based on size of overlapping areas of each of the input macroblocks with a correlation area that is correlated with the output macroblock. A discrete cosine transform (DCT) weight is determined based on a number of zero DCT coefficients of each of the input macroblocks that overlap the correlation area. The output macroblock mode is estimated based on the spatial weight and the DCT weight.

Abstract: A method of estimating output motion vector includes generating a group of candidate motion vectors, selecting two or more reference vectors, variably establishing a search window, and estimating an output motion vector by performing a motion vector refinement on the search window. The method selects the two or more reference vectors from the group of the candidate motion vectors and the search window is established according to a relativity among the reference vectors. A transcoder using the method includes an encoding parameter estimator configured to select the two or more reference vectors and to variably establish the search window according to the relativity between the reference vectors. Therefore, the search window may be efficiently established without increasing calculation time, so that the output motion vector may be more correctly estimated.