13 results about "Visual search tasks" patented technology

Described is a system and method for enabling visual search for information. With each selection of a search term, additional search terms are dynamically selected and presented to the user in conjunction with results matching the currently selected search terms. Likewise, a selected search term may be tokenized and a graphical token presented to the user to represent the selected search term.

The application discloses an online fiber visual searching system, which comprises luminous electronic tags, a first tag reader and a second tag reader. The luminous electronic tags are provided with inductive coils and luminous LED lamps. The luminous electronic tags are arranged at two ends of optical fibers, and the luminous electronic tags at the two ends of the same optical fiber have corresponding marks. The first tag reader is used for reading a single luminous electronic tag at a time. The second tag reader is used for reading a single or multiple luminous electronic tags at a time. The first tag reader and the second tag reader are in communication connection, and the first tag reader transmits tag information to the second tag reader after reading the tag information. The application has the advantages of realizing online optical fiber identification and being beneficial to fiber information management.

Described is a system and method for enabling dynamic selection of a search input. For example, rather than having a static search input box, the search input may be dynamically positioned such that it encompasses a portion of displayed information. For example, a user may touch a touch-based display using two fingers to invoke the dynamic search input and then determine a size and a position of the dynamic search input by moving their fingers on the display. An image segment that includes a representation of the encompassed portion of the displayed information is generated and processed to determine an object represented in the portion of the displayed information. Additional images with visually similar representations of objects are then determined and presented to the user.

Systems and methods for unimodal visual search can include obtaining an image query, processing the image query to generate an intent determination, determining a particular prompt based on the intent determination, determining a plurality of search results, and processing the particular prompt, the image query, and at least a subset of the plurality of search results to generate a model-generated response. A generation model can render different responses based on different prompts related to different intents.

Systems and methods for identification and retrieval of content for visual search are provided. An example method includes receiving data specifying a digital supplement. The data may identify a digital supplement and a supplement anchor for associating the digital supplement with visual content. The method may also include generating a data structure instance that specifies the digital supplement and the supplement anchor and, after generating the data structure instance, enabling triggering of the digital supplement by an image based at least on storing the data structure instance in a database that includes a plurality of other data structure instances. The other data structure instances may each specify a digital supplement and one or more supplement anchors.

An image masking system (100) is disclosed. The system (100) includes a segmentation module (130) configured to extract one or more regions of interest by processing an input query image using a segmentation network. The segmentation module (130) is further configured to select one or more segments from the one or more extracted regions of interest based on a user indicator. The system (100) includes a mask generation module (140) configured to generate a binary mask for the selected segments on the input query image. The system (100) further includes an image transformer module (150) configured to generate a masked image by performing an arithmetic operation on the binary mask and the input query image. The image transformer module (150) is further configured to extract an embedding of the masked image using one of a convolutional neural network architecture or a Transformer architecture.

Provided are computer-implemented systems and methods for responding to visual queries using both a visual search engine and a vision language model (VLM). In particular, aspects of the present disclosure can improve the performance of a VLM at generating a response to a visual queries by supplementing the visual query with one or more annotations generated by or using the visual search engine.

The application provides a visual search-oriented biological brain neuron activation mechanism analysis method and device. The application takes a mouse as a model animal, (1) proposes a neuron activation analysis method based on target stimulation correlation, solves the representation problem of the sparse activation mechanism of the visual cortex neuron, (2) proposes a neuron activity pattern analysis method based on the functional hierarchical division of the mouse visual brain area, solves the representation problem of the hierarchical activation mechanism of the visual cortex neuron, and (3) introduces a background noise control experiment in visual stimulation, and solves the representation problem of the visual cortex neuron activation distribution law under the influence of background stimulation noise.

This invention provides a method and system for constructing a neural network based on visual search. The method includes: conducting visual search experiments on experimental subjects with and without background noise to obtain brain imaging data of the subjects; for each sub-experiment, based on the brain imaging data, determining the neurons contained in each visual cortex and the neurons in each visual cortex related to visual stimuli; based on the neurons contained in each visual cortex and the neurons in each visual cortex related to visual stimuli in each sub-experiment, performing biological brain neuron activation mechanism analysis to obtain the sparse activation mechanism, hierarchical activation mechanism, and activation distribution law of visual cortex neurons; and constructing a target neural network based on at least one of the sparse activation mechanism, hierarchical activation mechanism, and activation distribution law. This invention solves the representation problem of sparse activation mechanism, hierarchical activation mechanism, and activation distribution law, which can improve the robustness of neural networks and reduce power consumption.