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4 results about "Visual memory" patented technology
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Visual memory describes the relationship between perceptual processing and the encoding, storage and retrieval of the resulting neural representations. Visual memory occurs over a broad time range spanning from eye movements to years in order to visually navigate to a previously visited location. Visual memory is a form of memory which preserves some characteristics of our senses pertaining to visual experience. We are able to place in memory visual information which resembles objects, places, animals or people in a mental image. The experience of visual memory is also referred to as the mind's eye through which we can retrieve from our memory a mental image of original objects, places, animals or people. Visual memory is one of several cognitive systems, which are all interconnected parts that combine to form the human memory. Types of palinopsia, the persistence or recurrence of a visual image after the stimulus has been removed, is a dysfunction of visual memory.
Method and system for analyzing ad characteristic information based on brain medical image
The application discloses an AD characteristic information analysis method based on brain medical images, which comprises the following steps: data preprocessing is performed on brain MRI images to be analyzed to obtain standard images of brain regions; spatial characteristic analysis of the whole brain and key brain regions; whole brain image characteristic analysis; cognitive characteristic analysis of the whole brain and key brain regions; and aggregation analysis results are obtained to form corresponding explanation data. The application further discloses an AD characteristic information analysis system based on brain medical images. The method for analyzing cognitive index characteristics such as brain age, logical memory score, visual memory score and long-time delay memory score from brain MRI images by using deep learning technology can provide analysis results of brain MRI images and other important medical indexes for doctors, and can provide effective arguments and explanations for subsequent scientific research analysis and interpretation.
Owner:SHANGHAI TONGJI HOSPITAL +1
A method for extending long video understanding capability of a multi-modal large language model through a visual memory mechanism
This invention discloses a method for extending the long-video understanding capability of a multimodal large language model through a visual memory mechanism. The method includes: segmenting the long video into consecutive segments and initializing a visual memory bank; iteratively encoding each segment and generating contextual memory and local memory for each segment using a dual-path compression mechanism, where the former is used to convey historical information and the latter is stored in the memory bank; retrieving relevant local memory segments from the memory bank according to textual instructions; and inputting the retrieved segments and instructions into the multimodal large language model to generate an answer. This invention effectively extends the model's long-video understanding capability without increasing the GPU memory burden, balancing temporal coherence and local details, and achieving fast and flexible memory retrieval.
Owner:XIAMEN UNIV
An ai agent-based hierarchical visual memory method and system
This invention discloses a hierarchical visual memory method and system based on AI agents, belonging to the field of artificial intelligence agent technology. It addresses the technical problem that existing AI agent text memory systems cannot efficiently process continuous visual input and cannot convert visual data into contextual experience that the agent can reason about, resulting in visual data being unusable stably by the AI agent. The method includes: receiving visual input data and generating corresponding visual observation objects according to preset rules, and writing the visual observation objects into a first visual memory layer; filtering and controlling the visual observation objects through promotion gating; synthesizing the filtered visual observation objects into contextual memory records, and writing the contextual memory records into a second visual memory layer; grouping the contextual memory records according to preset indicators, generating a corresponding natural language summary for each group of contextual memory records, and writing the natural language summary into a third visual memory layer.
Owner:BEIJING MIANBI INTELLIGENT TECH CO LTD
A method and system for intelligent inspection of security robots for multiple scenarios
This invention discloses an intelligent inspection method and system for security robots in multiple scenarios, relating to the field of intelligent security. The method includes: in environments with good visibility, collecting vibration data generated by the robot's interaction with the ground to establish a standard fingerprint strip and historical images; in low-visibility environments, the robot collects blurred visual images and vibration data in real time, generating the current inspection fingerprint and matching it with the standard fingerprint strip; when a deviation is detected, the system calls upon a visual memory library and uses a deep learning visual matching network to determine the closest reference landmark, thereby adjusting the robot's turning angle to bring it back to the center path of the fingerprint strip. This invention can be applied to industrial control software and deployed on various models of security robots to achieve process control during inspections. It solves the problem of unstable positioning of security robots during inspections in low-visibility environments, realizing path self-correction and intelligent inspection control based on vibration fingerprint and deep visual matching.
Owner:ANLIZHI INTELLIGENT ROBOT TECH (BEIJING) CO LTD