A reception apparatus, method, and non-transitory computer-readable storage medium for processing an image in which a plurality of symbols is encoded, and an information providing apparatus for providing the image. The reception apparatus includes circuitry configured to receive or retrieve an image in which a plurality of symbols is encoded. The circuitry determines a set of luminance values used to encode the symbols based on luminance values of a plurality of pixels included in the image. The circuitry determines a highest luminance value used to encode the symbols in the image based on the determined set of luminance values. Further, the circuitry derives data values of the symbols encoded in the image based on the set of luminance values and using the determined highest luminance value.

A reception apparatus, method, and non-transitory computer-readable storage medium for processing an image in which a plurality of symbols is encoded, and an information providing apparatus for providing the image. The reception apparatus includes circuitry configured to receive or retrieve an image in which a plurality of symbols is encoded. The circuitry determines a set of luminance values used to encode the symbols based on luminance values of a plurality of pixels included in the image. The circuitry determines a highest luminance value used to encode the symbols in the image based on the determined set of luminance values. Further, the circuitry derives data values of the symbols encoded in the image based on the set of luminance values and using the determined highest luminance value.

An image caption apparatus includes an encoder which encodes an input image; and a decoder which receives an output of the encoder. The decoder comprises a first long short-term memory (LSTM) configured to operate in cooperation with a second LSTM to respectively generate a first hidden vector and a second hidden vector, wherein the second hidden vector is used to generate a word for an output caption, a LSTM cell configured to be used for both the first LSTM and the second LSTM to generate the first hidden vector or the second hidden vector, wherein an personality embedding vector fed into the LSTM cell is employed to modulate an input signal of visual and language features of the internal gates of the LSTM cell, and a personality controller configured to decay the personality embedding vector at each word generation step before the personality embedding vector is fed into the LSTM cell.

An image caption apparatus includes an encoder which encodes an input image; and a decoder which receives an output of the encoder. The decoder comprises a first long short-term memory (LSTM) configured to operate in cooperation with a second LSTM to respectively generate a first hidden vector and a second hidden vector, wherein the second hidden vector is used to generate a word for an output caption, a LSTM cell configured to be used for both the first LSTM and the second LSTM to generate the first hidden vector or the second hidden vector, wherein an personality embedding vector fed into the LSTM cell is employed to modulate an input signal of visual and language features of the internal gates of the LSTM cell, and a personality controller configured to decay the personality embedding vector at each word generation step before the personality embedding vector is fed into the LSTM cell.

A video display with high image quality is achieved even when a frame cycle varies for each frame. A video display system includes a video source device 11 which outputs a video signal and a display device 12 which displays a video based on a video signal output from the video source device 11. The video source device 11 includes a drawing time prediction unit 104 and a transmitting unit 102. The drawing time prediction unit 104 calculates frame interval information indicating an interval from when a video signal of a first frame is output to when a video signal of a second frame to be a next frame of the first frame is output. The transmitting unit 102 transmits the frame interval information calculated by the drawing time prediction unit 104 to the display device 12.

A video display with high image quality is achieved even when a frame cycle varies for each frame. A video display system includes a video source device 11 which outputs a video signal and a display device 12 which displays a video based on a video signal output from the video source device 11. The video source device 11 includes a drawing time prediction unit 104 and a transmitting unit 102. The drawing time prediction unit 104 calculates frame interval information indicating an interval from when a video signal of a first frame is output to when a video signal of a second frame to be a next frame of the first frame is output. The transmitting unit 102 transmits the frame interval information calculated by the drawing time prediction unit 104 to the display device 12.

[Object] To provide an image processing device capable of outputting audio acquired as an audio data signal by capturing an arbitrary image. [Solution] Provided is an image processing device, including: a separation unit that separates a flicker pattern from an image obtained by capturing, at multiple exposure times, an image containing a scene that emits light on a basis of a flicker pattern converted from an audio signal; and a conversion unit that converts the separated flicker pattern to an original audio signal.

[Object] To provide an image processing device capable of outputting audio acquired as an audio data signal by capturing an arbitrary image. [Solution] Provided is an image processing device, including: a separation unit that separates a flicker pattern from an image obtained by capturing, at multiple exposure times, an image containing a scene that emits light on a basis of a flicker pattern converted from an audio signal; and a conversion unit that converts the separated flicker pattern to an original audio signal.

Various embodiments herein each include at least one of systems, methods, and software for identification and imaging of terminal-proximate event occurrences. One such embodiment is in the form of a method that includes detecting an event occurrence and selecting at least one digital image captured with regard to a location of the detected event. This method further includes providing each of the at least one selected digital images to at least one location.

Various embodiments herein each include at least one of systems, methods, and software for identification and imaging of terminal-proximate event occurrences. One such embodiment is in the form of a method that includes detecting an event occurrence and selecting at least one digital image captured with regard to a location of the detected event. This method further includes providing each of the at least one selected digital images to at least one location.