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Related Concept Videos

Long-Term Memory01:18

Long-Term Memory

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Long-term memory is a relatively permanent type of memory, capable of storing vast amounts of information over extended periods. Its storage capacity is generally considered unlimited.
Long-term memory can be categorized into two primary types: explicit and implicit memory. Explicit memory, also known as declarative memory, involves the conscious recollection of information that we deliberately try to remember, recall, and articulate. This type of memory encompasses specific facts, events, and...
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Encoding01:19

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Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
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Explicit Memories01:27

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Explicit memories, also known as declarative memories, are consciously remembered, recalled, and reported. Studying for a chemistry exam involves material that will become part of explicit memory. There are two types of explicit memory: episodic and semantic.
Episodic memory contains information about personally experienced events and is reported as a story. An example of episodic memory is recalling a birthday celebration. This type of memory includes the what, where, and when of an event, as...
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Associative Learning01:27

Associative Learning

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Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
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Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

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Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
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Storage01:23

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A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
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Class-dependent and cross-modal memory network considering sentimental features for video-based captioning.

Haitao Xiong1, Yuchen Zhou1, Jiaming Liu1

  • 1School of International Economics and Management, Beijing Technology and Business University, Beijing, China.

Frontiers in Psychology
|March 6, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a new framework for video captioning that improves commonsense understanding by using class-dependent memory and sentiment analysis. The proposed method enhances video content descriptions and outperforms existing techniques.

Keywords:
class-dependent memorycommonsense captioncross-modal mappingcross-modal matricescross-modal memory networksentimental features

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Natural Language Processing

Background:

  • Video-based commonsense captioning aims to enrich video descriptions with contextual understanding.
  • Existing methods often overlook the nuances of cross-modal mapping between visual and textual data.

Purpose of the Study:

  • To propose a novel framework, CCMN-SEN, for enhanced commonsense caption generation in videos.
  • To improve cross-modal mapping by incorporating class-dependent memory and sentiment features.

Main Methods:

  • Developed a Class-dependent and Cross-modal Memory Network considering SENtimental features (CCMN-SEN).
  • Implemented class-dependent memory to align video features and text based on shared labels.
  • Integrated sentiment features to enhance the generation of contextually relevant captions.

Main Results:

  • The CCMN-SEN framework demonstrated significant improvements over state-of-the-art methods in video-based commonsense captioning.
  • Experimental results validate the effectiveness of class-dependent memory and sentiment features.

Conclusions:

  • The proposed CCMN-SEN framework offers a more effective approach to video-based commonsense captioning.
  • This research has practical implications for better video content understanding and analysis.