Content Based Image and Video Retrieval: A Compressive Review
نویسندگان
چکیده
Content-based image retrieval is quickly becoming the most common method of searching vast databases for images, giving researchers a lot room to develop new techniques and systems. Likewise, another application in field computer vision content-based visual information retrieval. For video retrieval, text-based search Web-based reranking have been methods. Though Content Based Video Systems improved accuracy over time, they still fall short interactive search. The use these approaches has exposed shortcomings such as noisy data inaccuracy, which often result showing irrelevant images or videos. authors proposed study integrate improve precision retrieved results both photographs In response user's query, this investigates alternative ways fetching high-quality photos related
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ژورنال
عنوان ژورنال: International journal of engineering and advanced technology
سال: 2021
ISSN: ['2249-8958']
DOI: https://doi.org/10.35940/ijeat.e2783.0610521