Recent research in video streaming over Vehicular Ad Hoc Networks (VANETs) seeks to overcome the challenges of high node mobility, frequent link breaks, and variable network densities to deliver high-quality, real-time video content in vehicular environments. Efforts include cross-layer schemes that integrate coding strategies (e.g., HEVC, multiple description coding) with MAC-layer adaptations to reduce latency and improve end-to-end video quality. Geographic and relay-suitability-based routing protocols are also being developed to select optimal forwarding vehicles based on mobility and QoS/QoE metrics like delay, jitter, packet-loss, and PSNR. In addition, hybrid dissemination models combine vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and roadside caching to buffer and forward video packets smoothly despite topology changes. Security-enhanced frameworks leverage blockchain, 5G connectivity, and deep learning to support emergency video streaming with integrity and trust in dynamic vehicular settings. These advances collectively aim to enable seamless video streaming services—ranging from infotainment to safety/emergency broadcast—in next-generation vehicular networks.