Techniques for synthesizing intermediary frames for long exposure images are disclosed. Video stream data, comprising a plurality of arriving frames, is received. An indication that the video stream data should be processed into a long exposure image that incorporates one or more synthesized frames is received. A set of arriving frames is used to generate at least one synthesized frame. At least one received frame is blended with the at least one generated synthesized frame to form a long exposure image. The long exposure image is provided as output.

Provided is an image processing apparatus including a parameter control section adapted to acquire, at a predetermined rate, motion information of an imaging apparatus that captures a video and control an exposure time on the basis of the motion information, and an output section adapted to output data obtained by performing a predetermined process on an image captured by the imaging apparatus with the exposure time.

Positions of an image capture device may be used to estimate a time-lapse video frame rate with which time-lapse video frames are generated. The time-lapse video frame rate may be adjusted based on apparent motion between pairs of generated time-lapse video frames. The adjusted time-lapse video frame rate may be used to generate additional time-lapse video frames.

An imaging method is provided that includes: taking an image of an object to generate an image signal of the object; generating a taken image of the object on a basis of the image signal; detecting motion information of the object on the basis of the image signal; taking an image of the object on a basis of the motion information multiple times so as to differentiate an exposure amount thereof and generating an HDR synthetic image of the object on the basis of a plurality of image signals whose exposure amounts are different from each other.

A frame rate is synchronized to a detected cadence in order to generate an output image sequence that is substantially stabilized. In an in-camera process, a camera receives motion data of the camera while the camera captures the sequence of image frames. A dominant frequency of motion is determined and the capture frame rate is dynamically adjusted to match the frequency of detected motion so that each image frame is captured when the camera is at approximately the same position along the axis of motion. Alternatively, in a post-processing process, frames of a captured image sequence are selectively sampled at a sampling rate corresponding to the dominant frequency of motion so that each sampled frame corresponds to an image capture that occurred when the camera is at approximately the same position along the axis of motion.

An imaging method is provided that includes: taking an image of an object to generate an image signal of the object; generating a taken image of the object on a basis of the image signal; detecting motion information of the object on the basis of the image signal; taking an image of the object on a basis of the motion information multiple times so as to differentiate an exposure amount thereof; and generating an HDR synthetic image of the object on the basis of a plurality of image signals whose exposure amounts are different from each other.

Examples for global motion suppression in an event-driven camera are described herein. In some examples, global motion of an event-driven camera is detected based on a plurality of pixels of an event-driven image sensor detecting events. The global motion may be suppressed by event-driven image sensor circuitry in response to detecting the global motion.

Searching for documents includes retrieving objects from a physical media image using a camera from a smartphone, a user selecting a subset of the objects, forming a search query based on the subset of objects, and applying the search query to a search engine to search for the documents. Retrieving objects from a media image may include waiting for a view of the camera to stabilize. Waiting for the view of the camera to stabilize may include detecting changing content of a video flow provided to the camera and/or using motion sensors of the camera to detect movement. Retrieving objects may include the smartphone identifying possible subsets of objects in the media image. The user selecting a subset of the objects may include the smartphone presenting at least some of the possible subsets to the user and the user selecting one of the possible subsets.

An electronic device is provided. The electronic device includes a camera including a plurality of lenses, a display, and a processor, in which the processor is configured to display a plurality of icons corresponding to the plurality of lenses, based on first position information in a first photographing mode, and upon selection of a first icon by a first gesture from the plurality of icons in the first photographing mode, switch to a second photographing mode and display a zoom control region including a plurality of zoom levels having a first zoom level of a first lens corresponding to the first icon as a reference zoom level and the plurality of icons rearranged based on second position information corresponding to the plurality of zoom levels.

A method includes detecting, based on sensor data from a sensor on a mobile device, an environmental brightness measurement, where the mobile device comprises a display screen configured to adjust display brightness based on environmental brightness. The method further includes determining, based on image data from a camera on the mobile device, an extent to which the detected environmental brightness measurement is caused by reflected light from the display screen. The method additionally includes setting a rate of exposure change for the camera based on the determined extent to which the detected environmental brightness measurement is caused by reflected light from the display screen.