Abstract: A pixel includes: a storage capacitor connected between a first power supply voltage and a gate node; a first transistor including a gate electrode connected to the gate node; a second transistor to transfer a data signal to a source of the first transistor in response to a scan signal; a third transistor to diode-connect the first transistor in response to the scan signal, and including first and second sub-transistors serially connected between the gate node and a drain of the first transistor; a fourth transistor to transfer an initialization voltage to the gate node in response to an initialization signal, and including third and fourth sub-transistors serially connected between the gate node and the initialization voltage; and an organic light emitting diode including a cathode connected to a second power supply voltage. At least one of the second and fourth sub-transistors includes a bottom electrode.

Abstract: An image analysis method for extracting features of an image and an apparatus for the same are disclosed. An image analysis method performed in an image analysis apparatus may comprise extracting a plurality of features for a plurality of sample images through a pre-learned model to extract features from the plurality of sample images; determining a plurality of target features representing final features to be extracted through the image analysis apparatus; encoding the plurality of features based on a probability distribution of the plurality of target features for the plurality of features; and analyzing a plurality of analysis target images based on the plurality of encoded features when the plurality of analysis target images are received.

Abstract: An image analysis method for extracting features of an image and an apparatus for the same are disclosed. An image analysis method performed in an image analysis apparatus may comprise extracting a plurality of features for a plurality of sample images through a pre-learned model to extract features from the plurality of sample images; determining a plurality of target features representing final features to be extracted through the image analysis apparatus; encoding the plurality of features based on a probability distribution of the plurality of target features for the plurality of features; and analyzing a plurality of analysis target images based on the plurality of encoded features when the plurality of analysis target images are received.